tutorial_combined.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "view-in-github"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/kircherlab/MPRAsnakeflow_tutorial/blob/main/tutorial_combined.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NsBG7lOCPnnE",
        "outputId": "6da1caeb-905a-42f8-843a-54409a379c0f"
      },
      "outputs": [],
      "source": [
        "%%capture\n",
        "import matplotlib.pyplot as plt\n",
        "import os\n",
        "import cv2"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BOSJecyQPnnC"
      },
      "source": [
        "# MPRAsnakeflow combined (assignment and experiment) tutorial\n",
        "\n",
        "This notebook runs both, the assignment and the experiment workflow. It does not use a pre-defined assignment file (maps barcodes to oligos). It uses directly the output of the assignment, configured in the config file. The advantage is that more jobs can be parallalized because the oligo/barcode map is needed later in the experiment workflow. Therfore the jobs before can already be run. This is usually helpfull if you run MPRAsnakeflow on a large HPC using a scheduling system like SLURM. \n",
        "\n",
        "After going through the pre-requirements we will cover the config file, run MPRAsnakeflow and we will look at interesting results from the assignment and experiment workflow."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uAAYJQqv9zIk"
      },
      "source": [
        "## Pre-requirements"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dOsEkOFu-MbM"
      },
      "source": [
        "### Docker/uDocker/apptainer\n",
        "\n",
        "When running locally you need to install `docker` or `apptainer`. For running it remotly on google colab `udocker` in colab from github.com/drengskapur/docker-in-colab works nicely.\n",
        "\n",
        "We try to atomatically find out what you need:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Apptainer is installed! We will use Apptainer to run MPRAsnakeflow\n"
          ]
        }
      ],
      "source": [
        "tutorial_container = \"visze/mprasnakeflow_tutorial:0.1.0\"\n",
        "docker= False\n",
        "apptainer = False\n",
        "\n",
        "docker = !docker --help &>/dev/null; if [ $? -eq 0 ]; then echo 1; else echo 0; fi\n",
        "docker = bool(int(docker[0]))\n",
        "apptainer = !apptainer --help &>/dev/null; if [ $? -eq 0 ]; then echo 1; else echo 0; fi\n",
        "apptainer = bool(int(apptainer[0]))\n",
        "\n",
        "if docker:\n",
        "    print(\"Docker is installed! We will use Docker to run MPRAsnakeflow\")\n",
        "elif apptainer:\n",
        "    print(\"Apptainer is installed! We will use Apptainer to run MPRAsnakeflow\")\n",
        "else:\n",
        "    print(\"Neither Docker nor Apptainer is installed. We assume you run the tutorial on colab and we will install uDocker for colab\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "When neither Docker nor Apptainer is installed we will install udocjer for colab now."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NSTDSHTN4JJk",
        "outputId": "5c2ad4b0-cc4b-4ced-9bfe-a75960cc36bd"
      },
      "outputs": [],
      "source": [
        "def udocker_init():\n",
        "    import os\n",
        "    if not os.path.exists(\"/home/user\"):\n",
        "        !pip install udocker > /dev/null\n",
        "        !udocker --allow-root install > /dev/null\n",
        "        !useradd -m user > /dev/null\n",
        "    print(f'Docker-in-Colab 1.1.0\\n')\n",
        "    print(f'Usage:     udocker(\"--help\")')\n",
        "    print(f'Examples:  https://github.com/indigo-dc/udocker?tab=readme-ov-file#examples')\n",
        "\n",
        "    def execute(command: str):\n",
        "        user_prompt = \"\\033[1;32muser@pc\\033[0m\"\n",
        "        print(f\"{user_prompt}$ udocker {command}\")\n",
        "        !su - user -c \"udocker $command\"\n",
        "\n",
        "    return execute\n",
        "\n",
        "if not docker and not apptainer:\n",
        "    udocker = udocker_init()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We define a general function to run our MPRAsnakeflow tutorial container that will check if docker, apptainer or uDocker has to be run. It will also bind your data directory `${{PWD}}/MPRAsnakeflow_tutorial` (will be dowloaded later) to `/data/run` within the container and defines this as working directory."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {},
      "outputs": [],
      "source": [
        "def runContainer(command):\n",
        "    user_prompt = \"\\033[1;32muser@pc\\033[0m\"\n",
        "    if docker:\n",
        "        print(f\"{user_prompt}$ docker run -v=${{PWD}}/MPRAsnakeflow_tutorial:/data/run --workdir /data/run {tutorial_container} {command}\")\n",
        "        !docker run -v=${{PWD}}/MPRAsnakeflow_tutorial:/data/run --workdir /data/run {tutorial_container} {command}\n",
        "    elif apptainer:\n",
        "        print(f\"apptainer run -B=${{PWD}}/MPRAsnakeflow_tutorial:/data/run --cwd /data/run mprasnakeflow_tutorial.sif {command}\")\n",
        "        !apptainer run -B=${{PWD}}/MPRAsnakeflow_tutorial:/data/run --cwd /data/run mprasnakeflow_tutorial.sif {command}\n",
        "    else:\n",
        "        udocker(f\"run -v=${{PWD}}/MPRAsnakeflow_tutorial:/data/run --workdir /data/run mprasnakeflow_tutorial {command}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Mb0rhjfo8dbA"
      },
      "source": [
        "### Test data\n",
        "\n",
        "The data used in this tutorial is present in the github repository. We will dowload it using git so that it is also present within a colab environment."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "BGLsBxpyst9V"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Cloning into 'MPRAsnakeflow_tutorial'...\n"
          ]
        }
      ],
      "source": [
        "%%bash\n",
        "git clone https://github.com/kircherlab/MPRAsnakeflow_tutorial.git"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4WYuqwGr-fEp"
      },
      "source": [
        "### snakemake\n",
        "\n",
        "MPRAsnakeflow and its software dependencies is packed in the official snakemake v8.20.3 container and you can find it on dockerhub wih the tag [`visze/mprasnakeflow_tutorial:0.1.0`](https://hub.docker.com/r/visze/mprasnakeflow_tutorial)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZZv9f_eu4bB9",
        "outputId": "67fa0e9c-386e-454a-c88d-11ce125ee5c3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "apptainer pull mprasnakeflow_tutorial.sif docker://visze/mprasnakeflow_tutorial:0.1.0\n",
            "\u001b[34mINFO:   \u001b[0m Using cached SIF image\n"
          ]
        }
      ],
      "source": [
        "if docker:\n",
        "    print(f\"docker pull {tutorial_container}\")\n",
        "    !docker pull \"{tutorial_container}\"\n",
        "    print(f\"docker create --name=mprasnakeflow_tutorial {tutorial_container}\")\n",
        "    !docker create --name=mprasnakeflow_tutorial \"{tutorial_container}\" > /dev/null\n",
        "elif apptainer:\n",
        "    print(f\"apptainer pull mprasnakeflow_tutorial.sif docker://{tutorial_container}\")\n",
        "    !apptainer pull mprasnakeflow_tutorial.sif docker://{tutorial_container} > /dev/null\n",
        "else:\n",
        "    udocker(f\"pull {tutorial_container}\")\n",
        "    udocker(f\"create --name=mprasnakeflow_tutorial {tutorial_container}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zYhKnwlV-orz"
      },
      "source": [
        "Try to run `snakemake --version` in docker:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "jQi5e3634sDP",
        "outputId": "844eb31f-20d4-463a-ef20-6c6c3b013e7a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "apptainer run -B=${PWD}/MPRAsnakeflow_tutorial:/data/run --cwd /data/run mprasnakeflow_tutorial.sif snakemake --version\n",
            "8.20.3+0.ge9ce4a3c.dirty\n"
          ]
        }
      ],
      "source": [
        "runContainer(\"snakemake --version\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Combined workflow\n",
        "\n",
        "This notebook runs both, the assignment and the experiment workflow. It does not use a pre-defined assignment file (maps barcodes to oligos). It uses directly the output of the assignment, configured in the config file. The advantage is that more jobs can be parallalized because the oligo/barcode map is needed later in the experiment workflow. Therfore the jobs before can already be run. This is usually helpfull if you run MPRAsnakeflow on a large HPC using a scheduling system like SLURM. \n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Assignment workflow\n",
        "\n",
        "To analyze your MPRA data, you need to know which barcode goes with which tested sequence. This is called assignment and typically associated multiple barcodes (i.e. the sequences that you will later count in the MPRA experiment) to a target sequence. It is possible that you already designed your assignment in advance (e.g. have barcodes synthezied with the targeted sequences) and already have a file which holds for each of the designed sequences the assignment to the barcodes. If this is the case you do not need to run the assignment step again and can run the experiment workflow with the file you already have.\\\n",
        "For the assignment step, we will need the files in the assignment folder (sequencing of barcodes and of the target sequences), as well as the config file and the design fasta (target sequences) in the design folder. We will take a look at these files now. The structure of a fastq file is as follows:  \n",
        "\n",
        "\n",
        "```\n",
        "@Sequence_ID_1  \n",
        "Sequence_1  \n",
        "+(Sequence_ID_1)  \n",
        "Quality score string of Sequence_1\n",
        "@Sequence_ID_2  \n",
        "Sequence_2  \n",
        "+(Sequence_ID_2)\n",
        "Quality score string of Sequence_2  \n",
        "...\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "First two barcodes in our barcode sequencing file:\n",
            "\n",
            "@NS500466:861:HT5LLAFX3:1:11101:4277:1067 2:N:0:ACGTAGACCA\n",
            "TTGAGACGCCGTGAC\n",
            "+\n",
            "AAAAAEAEEEEEEEE\n",
            "@NS500466:861:HT5LLAFX3:1:11101:13208:1071 2:N:0:ACGTAGACCA\n",
            "GCAGATGTAGATTGT\n",
            "+\n",
            "AAAAAEEEEEEEEEE\n",
            "\n",
            "First two sequences in our forward sequencing file:\n",
            "\n",
            "@NS500466:861:HT5LLAFX3:1:11101:4277:1067 1:N:0:ACGTAGACCA\n",
            "TCCTTTGTCTTCATTACTTGTCTCACTGGTGCAGGCCTCGCTTAGCTTTCAGCCTATCGCAGCTTTCAACCTGCCTTCCTTGCTAAGCTGAATCATTTCTGGGTTTTGATTTAAAGTGAGTCGTCGTGGCTCTTCCTTTGAGCACT\n",
            "+\n",
            "AAAAAEEEAEEEEEEEEEEEEEEEEEEEEEEEEEEEEEAEAEEEEAEEEEEE<EEEEAEEEEEEEEEEAEEEEEEAAE<EEEEEEEEEEAEEEEEEEEAEEEEEEEEAEEEEEEEEEEAE/EEEAEEAE<EEEEAAEEEAAE<A<A\n",
            "@NS500466:861:HT5LLAFX3:1:11101:13208:1071 1:N:0:ACGTAGACCA\n",
            "TATGGTTTGGCTGTGTTCCTACCCAAATCTCATCTTGAATTGTAGCTCCCACAATTCCCATGTCATGGGAGGGACCAAGTGGGAGGTAACTGAATCAGGCGGCGGGTCTTACCCCATACTGTTCTCTTGGTAGTGAATAAGTCTCA\n",
            "+\n",
            "AAAAAEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEAEEEEEEEE<EEEEEEEEEEEEEAEEAAEEEAEEEEAEEEEEEEEEEEE<A<<<EAEEEEEEE6AAEEEEEEEEEEEEEEEE<EEEE<EAEEEAEAE\n"
          ]
        }
      ],
      "source": [
        "print(\"First two barcodes in our barcode sequencing file:\\n\")\n",
        "!zcat \"MPRAsnakeflow_tutorial/example_data/assignment/assoc_bc.fastq.gz\" | awk 'NR <=8 {print $0}'\n",
        "\n",
        "print(\"\\nFirst two sequences in our forward sequencing file:\\n\")\n",
        "!zcat \"MPRAsnakeflow_tutorial/example_data/assignment/assoc_fwd.fastq.gz\" | awk 'NR <=8 {print $0}'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "If you take a good look at these files, you can see the sequence IDs in lines starting with the \"@\". By definition the sequence ID ends at the first white space (remainder is considered a comment). This sequence ID is identical between the different files, i.e. the forward, reverse and barcode reads from the same molecule are in the same order. From the combination of these files, we can see which barcode is associated with which sequenced target (forward/reverse reads). These sequenced forward/reverse reads should therefore correspond to the sequences that we designed. The designed sequences can be found in our design fasta, which contains the following information:  \n",
        "\n",
        "```\n",
        ">oligo_ID_1  \n",
        "Designed sequence 1\n",
        ">oligo_ID_2  \n",
        "Designed sequence 2\n",
        "...\n",
        "```\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            ">oligo_002500\n",
            "AGGACCGGATCAACTCTGATTGCCTGCACCTAGATGGCTTGTGTGTAGCAGGGGCTCCTGGATGAGAAGGGGGCAGAAGTTAATAGAGCTGACTCGTGCCTTGAGTGTCATGTCTTATGTATTCAGCTGCTGACTAAGCAGCAGAGTGTAATATAGCTTACTAGAAAAAGTTGACCTTTAGCTGCATTCTTAATTCTTAACTTTTCAGTTATTGACATTGCGTGAACCGA\n",
            ">oligo_002501:oligo_002502\n",
            "AGGACCGGATCAACTGGTAATTTATAGATTCAATGCCATCCCCATCAAGCTACCAATGACTTTCTTCCCAGAATTAGAAAAAACTACTTTAAAGTTCATATGGAACCAAAAAAGAGCCCGCATCGCCAAGTCAATCCTAAGCCAAAAGAACAAAGCTGGAGGCATCACGCTACCTGACTTCAAACTATACTACAAGGCTATGGAAATTATTTTTACATTGCGTGAACCGA\n",
            ">oligo_002503\n",
            "AGGACCGGATCAACTAACCTCACAATGAATCAGTGAGGTTCATATTGTTCTCCCCATTTTACAAAAAAGAGAGGTTCAGATAAATTCAGTAATTTTCTCAAGGTCACAGAACAAGTAAAGAACACAGGAGTAGTAAAAAACAGAACCAAGACTGGGACACAAGCCTCCAGCCTCCCTGGCTCAGAGCCCCTTGCTGTCTCCACTATGCCCACCATCATTGCGTGAACCGA\n",
            ">oligo_002504\n",
            "AGGACCGGATCAACTAGAGGCCCTGAAGAAAGGGGAAAAAGGCAGTGAAGGGGCAGAAACCCTGGTAGTCCAGCAAGGGAGGGTGAGAAGGAAGGGGGGAGGTATGAGTATTACTATAGACCAAGGGTTGGGGTGGCACCTGGAGACTCCTGGACTTGACTGCAACTGTATGTATTGTTATATGTATATGTATAGACATTTATTTTCAAGTATATCATTGCGTGAACCGA\n",
            ">oligo_002505\n",
            "AGGACCGGATCAACTAGGATTATGCTCACATGCACATATAATACTGTCTAATATGTGTATATGCGAGGAGTAGATAGGCCTAAACTCTGGTAGGCCTGGAGATTCCCTGGTTTTTTACTCACAATCACTGGTCCTGTCACCTGGTACTCTATTCTGAGCATGAAGGCAGCTGAGGGCAGAGGGAAAGAAACTAGAGACATAGGCCTGTTGCCTCCCATTGCGTGAACCGA\n"
          ]
        }
      ],
      "source": [
        "!head \"MPRAsnakeflow_tutorial/example_data/design/workshop_design.fa\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\"Oligos\" are the target sequences that we designed in advance, i.e. the sequences we would like to see in our assignment sequencing files (fastq files). In the association step, our goal is to assign the sequences to the oligos, since as you can see the oligo ID and sequence ID are not matching. By matching the reads to our designed oligos, we also automatically link the sequenced barcodes to our designed oligos, which is essential for us later."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Experiment Workflow\n",
        "\n",
        "For the experiment step, where the counts per oligo are calculated, we need all the files in the `example_data/counts` folder, as well as the config file and the barcode assignment file, which is the output of the assignment step (but also stored under `example_data/counts`).\n",
        "\n",
        "We investigated the assignment file in the association tutorial. This table is now used to count the number of observed barcodes for each target sequence.\n",
        "\n",
        "We can take a look at the input files, to understand what we later have to gve the MPRAsnakeflow pipeline via a config file. Each count experiment, in our case, is described using three files (the paths of which are in the `experiment.csv` file): forward reads, reverse reads, and UMIs. Note that the UMIs are optional, and serve to deduplicate barcodes with overdispersed counts due to preferential amplification related to GC content or library preparation steps. From one of the UMI read files, we can see that indeed our UMI length is 16:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Average length of a UMI:\n",
            "16\n"
          ]
        }
      ],
      "source": [
        "print(\"\\nAverage length of a UMI:\")\n",
        "!zcat \"MPRAsnakeflow_tutorial/example_data/counts/dna-1_S1_R2_001.fastq.gz\" | awk 'NR % 4 == 2 {{sum += length($$0)}} END {{print sum*4/NR}}'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We can also check the length of the barcode, which should be 15:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Average length of a barcode:\n",
            "15\n"
          ]
        }
      ],
      "source": [
        "print(\"\\nAverage length of a barcode:\")\n",
        "!zcat \"MPRAsnakeflow_tutorial/example_data/counts/dna-1_S1_R1_001.fastq.gz\" | awk 'NR % 4 == 2 {{sum += length($$0)}} END {{print sum*4/NR}}'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0KqdtmOb_gHg"
      },
      "source": [
        "## Run MPRAsnakeflow\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Snakemake\n",
        "\n",
        "Before we come to more MPRAsnakeflow pipeline specific things we quickly want to introduce the snakemake workflow management system. A workflow management system, also like nextflow or cwl, is a tool to create reproducible and scalable data analyses. Snakemake workflows are described via a human readable, Python based language. They can be seamlessly scaled to server, cluster, grid and cloud environments, without the need to modify the workflow definition. Finally, Snakemake workflows can entail a description of required software, which will be automatically deployed to any execution environment.\n",
        "\n",
        "Each step in snakemake is defined as a `rule`. Which has a `input`, `output` and a mostly `shell` command. The `input` and `output` are files that are used as input and output for the rule. The `shell` command is the command that is executed to create the output file from the input file. There are other commands like `conda`, `params`, `log`, `threads`, `resources` that can be used to define the rule.\n",
        "\n",
        "E.g. here is an example rule `assignment_check_design` of MPRAsnakeflow, which checks if the design file is correct (no duplicated header, no `[` or `]` within headers and no duplicates sequences (sense and antisense). The rule takes our design file defined in the config (see later) and a script as input. When it is completed it creates the file `results/assignment/{assignment}/design_check.done` and other rules will only start running when this file is present and the check is completed. `{assignment}` is a wildcard and the name of the assignment will be used here (defined in the config file). This allows us to define multiple assignments within the config file an run them in parallel. In addition the design file is copied here: `results/assignment/{assignment}/reference/reference.fa` so that further mapping rules can create their mapping reference files. You see the `params` command is a bit lengthy but we needed some conditions, based on the flexibility of the user input. But finally the `shell` command looks very clean.\n",
        "\n",
        "```python\n",
        "rule assignment_check_design:\n",
        "    \"\"\"\n",
        "    Check if the design file is correct and no duplicated sequences are present (FW and reverse).\n",
        "    Also check if no duplicated headers and no illegal characters in header.\n",
        "    \"\"\"\n",
        "    conda:\n",
        "        \"../envs/python3.yaml\"\n",
        "    input:\n",
        "        design=lambda wc: config[\"assignments\"][wc.assignment][\"design_file\"],\n",
        "        script=getScript(\"assignment/check_design_file.py\"),\n",
        "    output:\n",
        "        temp(\"results/assignment/{assignment}/reference/reference.fa.fxi\"),\n",
        "        touch(\"results/assignment/{assignment}/design_check.done\"),\n",
        "        ref=\"results/assignment/{assignment}/reference/reference.fa\",\n",
        "    params:\n",
        "        start=lambda wc: (\n",
        "            config[\"assignments\"][wc.assignment][\"alignment_tool\"][\"configs\"][\n",
        "                \"alignment_start\"\n",
        "            ]\n",
        "            if config[\"assignments\"][wc.assignment][\"alignment_tool\"][\"tool\"]\n",
        "            == \"exact\"\n",
        "            else config[\"assignments\"][wc.assignment][\"alignment_tool\"][\"configs\"][\n",
        "                \"alignment_start\"\n",
        "            ][\"max\"]\n",
        "        ),\n",
        "        length=lambda wc: (\n",
        "            config[\"assignments\"][wc.assignment][\"alignment_tool\"][\"configs\"][\n",
        "                \"sequence_length\"\n",
        "            ]\n",
        "            if config[\"assignments\"][wc.assignment][\"alignment_tool\"][\"tool\"]\n",
        "            == \"exact\"\n",
        "            else config[\"assignments\"][wc.assignment][\"alignment_tool\"][\"configs\"][\n",
        "                \"sequence_length\"\n",
        "            ][\"min\"]\n",
        "        ),\n",
        "        fast_check=lambda wc: (\n",
        "            \"--fast-dict\"\n",
        "            if config[\"assignments\"][wc.assignment][\"design_check\"][\"fast\"]\n",
        "            else \"--slow-string-search\"\n",
        "        ),\n",
        "        check_sequence_collitions=lambda wc: (\n",
        "            \"--perform-sequence-check\"\n",
        "            if config[\"assignments\"][wc.assignment][\"design_check\"][\n",
        "                \"sequence_collitions\"\n",
        "            ]\n",
        "            else \"--skip-sequence-check\"\n",
        "        ),\n",
        "    log:\n",
        "        log=temp(\"results/logs/assignment/check_design.{assignment}.log\"),\n",
        "        err=\"results/assignment/{assignment}/design_check.err\",\n",
        "    shell:\n",
        "        \"\"\"\n",
        "        trap \"cat {log.err}\" ERR\n",
        "        cp {input.design} {output.ref}\n",
        "        python {input.script} --input {output.ref} \\\n",
        "        --start {params.start} --length {params.length} \\\n",
        "        {params.fast_check} {params.check_sequence_collitions} > {log.log} 2> {log.err};\n",
        "        \"\"\"\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "When running snakemake you need to specify where your worflow is, basically the main `Snakefile` of it. By default, Snakemake will search for ‘Snakefile’, ‘snakefile’, ‘workflow/Snakefile’, ‘workflow/snakefile’ beneath the current working directory, in this order. Then you do not have to use this command. But practically your workflow, here MPRAsnakeflow, might live somewhere else and you want to run the workflow in a different directory where you want to produce results. Then you need to specify the `--snakefile` parameter to the MPRAsnakeflow file in `workflow/Snakefile`. Otherwise you ahve to check/copy the workflow in every \"run\" rirectory which is not practically. Usually you start snakemake in the directory where you want to produce results."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### The config file\n",
        "\n",
        "The heart of your workflow run is the config file. You can specify it via `--configfile`. It is in `yaml` or `json` format. It contains all the parameters and input files that are used in the workflow.\n",
        "\n",
        "The config file has many parameters. But most of them have a default well, based on best practice and you don't have to specify them. But you can overwrite them if you want. Config files are first validated using json schema. If your config file is not correct MPRAsnakeflow will tell you what is missing or wrong and stop. Naming, parameters etc. might change from MPRAsnakeflow version and you might have to update your config file if you run a new version of MPRAsnakeflow. An extensive documentation of the config file can be found in the [MPRAsnakeflow documentation](https://mprasnakeflow.readthedocs.io/en/development/config.html).\n",
        "\n",
        "Here is the config file that we will use for running the combined tutorial.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "```yaml\n",
        "---\n",
        "assignments:\n",
        "  assignMPRAworkshop:\n",
        "    bc_length: 15\n",
        "    alignment_tool:\n",
        "        tool: bbmap\n",
        "        configs:\n",
        "          sequence_length:\n",
        "            min: 195\n",
        "            max: 205\n",
        "          alignment_start:\n",
        "            min: 14\n",
        "            max: 16\n",
        "    FW:\n",
        "      - example_data/assignment/assoc_fwd.fastq.gz\n",
        "    BC:\n",
        "      - example_data/assignment/assoc_bc.fastq.gz\n",
        "    REV:\n",
        "      - example_data/assignment/assoc_rev.fastq.gz\n",
        "    design_file: example_data/design/workshop_design.fa\n",
        "    configs:\n",
        "      default: {}\n",
        "experiments:\n",
        "  experimentMPRAworkshop:\n",
        "    bc_length: 15\n",
        "    umi_length: 16\n",
        "    data_folder: example_data/counts\n",
        "    experiment_file: example_data/experiment.csv\n",
        "    assignments:\n",
        "      MPRAworkshop:\n",
        "        type: config\n",
        "        assignment_name: assignMPRAworkshop\n",
        "        assignment_config: default\n",
        "    label_file: example_data/design/workshop_labels.tsv\n",
        "    configs:\n",
        "      default: {}\n",
        "      tutorialConfig:\n",
        "        filter:\n",
        "          bc_threshold: 5\n",
        "          DNA:\n",
        "            min_counts: 1\n",
        "          RNA:\n",
        "            min_counts: 1\n",
        "```"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We run both, the assignment and the experiment workflow.\n",
        "\n",
        "#### Assignment config\n",
        "\n",
        "First, the assignment workflow config will start with `assignment`. The a list with possible names of assignments will follow. Here we have just one: `assignMPRAworkshop`. The whole config file has the minimal information, which is needed by MPRAsnakeflow. This is the barcode length `bc_length`, the alignment tool `alignment_tool` for mapping reads to the design file (here we use `bbmap` but other options are possible) and the configuration of the tool. The forward reads `FW`, the barcode reads `BC`, the reverse reads `REV` and the design file `design_file`. Then we can define multiple configs `configs`, basically how we filter barcodes later. E.g. a minimal support of barcodes per oligo `min_support` and a fraction of assigned barcodes to an oligo `fraction`. In our tutorial example we just have one config named `default` and we will set the default parameters by defining `degault: {}`. This is `min_support: 3` and `fraction: 0.75`. But the option to have multiple settings allows us to create multiple BC to oligo mappings based on different strategies. The worflow will then only run the last part multiple times with different settings avoiding the computational extensive mapping approach."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "As a sanity check and to understand where these values come from, we will take a look at if the information matches our input files. We used 15 bp adapters for this MPRA experiment, which were added at both ends of each designed oligo. The ``alignment_start`` configuration refers to these adapters as our actual target sequences only starts after the 15 bp of adapter sequence."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Average length of a barcode:\n",
            "15\n",
            "\n",
            "Average length of a target sequence (oligo length - 2 x adapter):\n",
            "200\n"
          ]
        }
      ],
      "source": [
        "adapter_length=15\n",
        "\n",
        "print(\"\\nAverage length of a barcode:\")\n",
        "!zcat \"MPRAsnakeflow_tutorial/example_data/assignment/assoc_bc.fastq.gz\" | awk 'NR % 4 == 2 {{sum += length($$0)}} END {{print sum*4/NR}}'\n",
        "\n",
        "print(\"\\nAverage length of a target sequence (oligo length - 2 x adapter):\")\n",
        "seq_length_with_bc = !cat \"MPRAsnakeflow_tutorial/example_data/design/workshop_design.fa\" | awk 'NR % 4 == 2 {{sum +=length($$0)}} END {{print sum*4/NR}}'\n",
        "seq_length_with_bc = int(seq_length_with_bc[0])\n",
        "seq_length = seq_length_with_bc - 2*adapter_length\n",
        "print(seq_length)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### Experiment config\n",
        "\n",
        "Everything that is written in the `experiment` part of teh YAML file shows the part of the config file that concerns the experiment part. Since assignment and experiment part can be run independently the `bc_length` needs to be set again.\n",
        "\n",
        "The `experiment_file` holds the path to the file of the experiment table (i.e. condition, replicate and name of read files given)."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Because we run the experiment workflow we start with `experiments`. Then a list with possible names of experiments will follow. Here we have just one: `experimentMPRAworkshop`. The whole config file has the minimal information, which is needed by MPRAsnakeflow (except for `configs`, see later). This is the barcode length `bc_length` and the UMI length `umi_length` which we calculated previously. Then a link to folder `data_folder` where all fastqs of the experiment are. What conditions, replicates and belonging fastq files we have is stored in the the `experiment_file`.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "As a sanity check and to understand where these values come from, we will take a look at if the information matches our input files. We used 15 bp adapters for this MPRA experiment, which were added at both ends of each designed oligo. The ``alignment_start`` configuration refers to these adapters as our actual target sequences only starts after the 15 bp of adapter sequence."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Average length of a barcode:\n",
            "15\n",
            "\n",
            "Average length of a target sequence (oligo length - 2 x adapter):\n",
            "200\n"
          ]
        }
      ],
      "source": [
        "adapter_length=15\n",
        "\n",
        "print(\"\\nAverage length of a barcode:\")\n",
        "!zcat \"MPRAsnakeflow_tutorial/example_data/assignment/assoc_bc.fastq.gz\" | awk 'NR % 4 == 2 {{sum += length($$0)}} END {{print sum*4/NR}}'\n",
        "\n",
        "print(\"\\nAverage length of a target sequence (oligo length - 2 x adapter):\")\n",
        "seq_length_with_bc = !cat \"MPRAsnakeflow_tutorial/example_data/design/workshop_design.fa\" | awk 'NR % 4 == 2 {{sum +=length($$0)}} END {{print sum*4/NR}}'\n",
        "seq_length_with_bc = int(seq_length_with_bc[0])\n",
        "seq_length = seq_length_with_bc - 2*adapter_length\n",
        "print(seq_length)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "in the `assignments` part of the YAML we link back towards the assignment workflow and specify which assignment run we should use and under which config. This part is different to the stand-alone experiment tutorial because here we use an assignment file."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### MPRAsnakeflow tutorial profile\n",
        "\n",
        "Snakemake can make use of profiles to pre-configure command-line-interfaces as well as ressources and number of threads as default or per rule. A profile has to be stored (on Linux) in the folder `$HOME/.config/snakemake` or `/etc/xdg/snakemake`. It can be activated by using the `--profile` option in the snakemake command. In addition you can set an environment variable `SNAKEMAKE_PROFILE`, e.g. by specifying export `SNAKEMAKE_PROFILE=myprofile` in your `~/.bashrc` to use the profile by default. In addition a specific workflow profile can be set using `--workflow-profile path_to_your_profile`. E.g. we pre-defined a [workflow profile for MPRAsnakeflow](https://github.com/kircherlab/MPRAsnakeflow/blob/development/profiles/default/config.yaml) adding ressources to each rule with some additional commands for the [snakemake excecutor plugin slum](https://snakemake.github.io/snakemake-plugin-catalog/plugins/executor/slurm.html).\n",
        "\n",
        "For more information on snakemake using profiles please have a look [snakemke profile documentation](https://snakemake.readthedocs.io/en/stable/executing/cli.html#profiles)\n",
        "\n",
        "For the MPRAsnakeflow tutorial we will use the profile `mprasnakeflow` which is stored in the folder `/etc/xdg/snakemake` within the container and the `SNAKEMAKE_PROFILE=mprasnakeflow` is already set. Have a look at the variable and the profile:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "apptainer run -B=${PWD}/MPRAsnakeflow_tutorial:/data/run --cwd /data/run mprasnakeflow_tutorial.sif cat /etc/xdg/snakemake/mprasnakeflow/config.yaml\n",
            "---\n",
            "snakefile: /data/MPRAsnakeflow/workflow/Snakefile\n",
            "software-deployment-method: conda\n",
            "conda-prefix: /data/conda_envs\n",
            "cores: 1\n",
            "set-threads:\n",
            "  assignment_mapping_bbmap: 10\n"
          ]
        }
      ],
      "source": [
        "runContainer(\"cat /etc/xdg/snakemake/mprasnakeflow/config.yaml\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "You see that we already defined where the MPRASsnkeflow `Snakefile` is and `--snakefile` is not necessary. Also all software packages are installed alrady in the container using conda and we enable this software deployment method and tell snakemake where the conda environments live (the default will be your exceuction folder under `.snamemake/conda`). Also the `--cores/-c` option is not necessary anymore and snakemake just needs your configuration file of the workflow using the command `--configfile`"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Run the workflow\n",
        "\n",
        "First we run a dry-run to see what will be executed using `-n` and `--quiet rules` to see only the overview of excecuted rules and not each rule command individually. The most important part is setting the config file via `-configfile config_combined.yaml`"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TXlOomWL5Am2",
        "outputId": "5c32a998-eaef-426e-ccc8-8102d2487950"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "apptainer run -B=${PWD}/MPRAsnakeflow_tutorial:/data/run --cwd /data/run mprasnakeflow_tutorial.sif snakemake --configfile config_combined.yaml -n --quiet rules\n",
            "Using profile mprasnakeflow for setting default command line arguments.\n",
            "\u001b[32mhost: pmn-bih-cfbi-20\u001b[0m\n",
            "\u001b[33mBuilding DAG of jobs...\u001b[0m\n",
            "\u001b[33mJob stats:\n",
            "job                                                             count\n",
            "------------------------------------------------------------  -------\n",
            "all                                                                 1\n",
            "assigned_counts_assignBarcodes                                     12\n",
            "assigned_counts_combine_replicates                                  4\n",
            "assigned_counts_combine_replicates_barcode_output                   2\n",
            "assigned_counts_dna_rna_merge                                       6\n",
            "assigned_counts_filterAssignment                                    1\n",
            "assigned_counts_make_master_tables                                  2\n",
            "assignment_attach_idx                                               2\n",
            "assignment_check_design                                             1\n",
            "assignment_collect                                                  1\n",
            "assignment_collectBCs                                               1\n",
            "assignment_fastq_split                                              3\n",
            "assignment_filter                                                   1\n",
            "assignment_flagstat                                                 1\n",
            "assignment_idx_bam                                                  1\n",
            "assignment_mapping_bbmap                                            1\n",
            "assignment_mapping_bbmap_getBCs                                     1\n",
            "assignment_merge                                                    1\n",
            "assignment_statistic_assignedCounts                                 1\n",
            "assignment_statistic_assignment                                     1\n",
            "assignment_statistic_totalCounts                                    1\n",
            "counts_dna_rna_merge_counts                                        12\n",
            "counts_filter_counts                                                6\n",
            "counts_final_counts                                                 6\n",
            "counts_umi_create_BAM                                               6\n",
            "counts_umi_raw_counts                                               6\n",
            "qc_report_assoc                                                     1\n",
            "qc_report_count                                                     2\n",
            "statistic_assigned_counts_combine_BC_assignment_stats               2\n",
            "statistic_assigned_counts_combine_BC_assignment_stats_helper        2\n",
            "statistic_assigned_counts_combine_stats_dna_rna_merge               2\n",
            "statistic_assigned_counts_combine_stats_dna_rna_merge_all           2\n",
            "statistic_bc_overlap_combine_assigned_counts                        2\n",
            "statistic_bc_overlap_combine_counts                                 2\n",
            "statistic_bc_overlap_run                                            8\n",
            "statistic_correlation_bc_counts                                     4\n",
            "statistic_correlation_bc_counts_hist                                4\n",
            "statistic_correlation_calculate                                     2\n",
            "statistic_correlation_combine_bc_assigned                           2\n",
            "statistic_correlation_combine_bc_raw                                2\n",
            "statistic_correlation_combine_oligo                                 2\n",
            "statistic_correlation_hist_box_plots                                2\n",
            "statistic_counts_BC_in_RNA_DNA                                      6\n",
            "statistic_counts_BC_in_RNA_DNA_merge                                2\n",
            "statistic_counts_barcode_base_composition                           6\n",
            "statistic_counts_final                                              2\n",
            "statistic_counts_frequent_umis                                      6\n",
            "statistic_counts_stats_merge                                        2\n",
            "statistic_counts_table                                             12\n",
            "total                                                             158\n",
            "\u001b[0m\n"
          ]
        }
      ],
      "source": [
        "# MPRAsnakeflow_tutorial must be accessable and writable for all (and docker)\n",
        "!chmod ugo+rwx MPRAsnakeflow_tutorial\n",
        "# Run MPRAsnakeflow\n",
        "runContainer(\"snakemake --configfile config_combined.yaml -n --quiet rules\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "You see a list of rules and how often this rule is executed debending on the input file. E.g. it is possible to you input fastq file into `n` via the rule `assignment_fastq_split` using the option `split_number` in the config file (it is commented out right now). Then rules afterwards, like `assignment_getBCs` will be executed `n` times. This behaviour is nice for parallelisation especially on a HPC system where you have multiple nodes available. \n",
        "\n",
        "A short summary of each rule is in the [MPRAsnakeflow documentation](https://mprasnakeflow.readthedocs.io/en/latest/assignment.html#rules).\n",
        "\n",
        "Now let's run snakemake using 10 cores (BBMap can be parallized). When you add the `-p` flag you will see the exact code that is executed in each rule. But we ommit this here beacuse it is a lot of output."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "id": "gNESKLR_UkLV"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "apptainer run -B=${PWD}/MPRAsnakeflow_tutorial:/data/run --cwd /data/run mprasnakeflow_tutorial.sif snakemake --configfile config_combined.yaml -c 10\n",
            "Using profile mprasnakeflow for setting default command line arguments.\n",
            "\u001b[33mAssuming unrestricted shared filesystem usage.\u001b[0m\n",
            "\u001b[32mhost: pmn-bih-cfbi-20\u001b[0m\n",
            "\u001b[33mBuilding DAG of jobs...\u001b[0m\n",
            "\u001b[33mUsing shell: /usr/bin/bash\u001b[0m\n",
            "\u001b[33mProvided cores: 10\u001b[0m\n",
            "\u001b[33mRules claiming more threads will be scaled down.\u001b[0m\n",
            "\u001b[33mSingularity containers: ignored\u001b[0m\n",
            "\u001b[33mJob stats:\n",
            "job                                                             count\n",
            "------------------------------------------------------------  -------\n",
            "all                                                                 1\n",
            "assigned_counts_assignBarcodes                                     12\n",
            "assigned_counts_combine_replicates                                  4\n",
            "assigned_counts_combine_replicates_barcode_output                   2\n",
            "assigned_counts_dna_rna_merge                                       6\n",
            "assigned_counts_filterAssignment                                    1\n",
            "assigned_counts_make_master_tables                                  2\n",
            "assignment_attach_idx                                               2\n",
            "assignment_check_design                                             1\n",
            "assignment_collect                                                  1\n",
            "assignment_collectBCs                                               1\n",
            "assignment_fastq_split                                              3\n",
            "assignment_filter                                                   1\n",
            "assignment_flagstat                                                 1\n",
            "assignment_idx_bam                                                  1\n",
            "assignment_mapping_bbmap                                            1\n",
            "assignment_mapping_bbmap_getBCs                                     1\n",
            "assignment_merge                                                    1\n",
            "assignment_statistic_assignedCounts                                 1\n",
            "assignment_statistic_assignment                                     1\n",
            "assignment_statistic_totalCounts                                    1\n",
            "counts_dna_rna_merge_counts                                        12\n",
            "counts_filter_counts                                                6\n",
            "counts_final_counts                                                 6\n",
            "counts_umi_create_BAM                                               6\n",
            "counts_umi_raw_counts                                               6\n",
            "qc_report_assoc                                                     1\n",
            "qc_report_count                                                     2\n",
            "statistic_assigned_counts_combine_BC_assignment_stats               2\n",
            "statistic_assigned_counts_combine_BC_assignment_stats_helper        2\n",
            "statistic_assigned_counts_combine_stats_dna_rna_merge               2\n",
            "statistic_assigned_counts_combine_stats_dna_rna_merge_all           2\n",
            "statistic_bc_overlap_combine_assigned_counts                        2\n",
            "statistic_bc_overlap_combine_counts                                 2\n",
            "statistic_bc_overlap_run                                            8\n",
            "statistic_correlation_bc_counts                                     4\n",
            "statistic_correlation_bc_counts_hist                                4\n",
            "statistic_correlation_calculate                                     2\n",
            "statistic_correlation_combine_bc_assigned                           2\n",
            "statistic_correlation_combine_bc_raw                                2\n",
            "statistic_correlation_combine_oligo                                 2\n",
            "statistic_correlation_hist_box_plots                                2\n",
            "statistic_counts_BC_in_RNA_DNA                                      6\n",
            "statistic_counts_BC_in_RNA_DNA_merge                                2\n",
            "statistic_counts_barcode_base_composition                           6\n",
            "statistic_counts_final                                              2\n",
            "statistic_counts_frequent_umis                                      6\n",
            "statistic_counts_stats_merge                                        2\n",
            "statistic_counts_table                                             12\n",
            "total                                                             158\n",
            "\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 7 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:14 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_create_BAM:\n",
            "    input: example_data/counts/dna-1_S1_R1_001.fastq.gz, example_data/counts/dna-1_S1_R3_001.fastq.gz, example_data/counts/dna-1_S1_R2_001.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/FastQ2doubleIndexBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/library_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReadsBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReads_python3.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA.bam\n",
            "    log: results/logs/counts/umi/create_BAM.experimentMPRAworkshop.HepG2.1.DNA.log\n",
            "    jobid: 23\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:14 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_create_BAM:\n",
            "    input: example_data/counts/rna-3_S6_R1_001.fastq.gz, example_data/counts/rna-3_S6_R3_001.fastq.gz, example_data/counts/rna-3_S6_R2_001.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/FastQ2doubleIndexBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/library_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReadsBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReads_python3.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA.bam\n",
            "    log: results/logs/counts/umi/create_BAM.experimentMPRAworkshop.HepG2.3.RNA.log\n",
            "    jobid: 48\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:14 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_check_design:\n",
            "    input: example_data/design/workshop_design.fa, /data/MPRAsnakeflow/workflow/rules/../scripts/assignment/check_design_file.py (cached)\n",
            "    output: results/assignment/assignMPRAworkshop/reference/reference.fa.fxi, results/assignment/assignMPRAworkshop/design_check.done, results/assignment/assignMPRAworkshop/reference/reference.fa\n",
            "    log: results/logs/assignment/check_design.assignMPRAworkshop.log, results/assignment/assignMPRAworkshop/design_check.err\n",
            "    jobid: 2\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/design_check.done, results/assignment/assignMPRAworkshop/reference/reference.fa\n",
            "    wildcards: assignment=assignMPRAworkshop\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:14 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_create_BAM:\n",
            "    input: example_data/counts/dna-2_S2_R1_001.fastq.gz, example_data/counts/dna-2_S2_R3_001.fastq.gz, example_data/counts/dna-2_S2_R2_001.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/FastQ2doubleIndexBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/library_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReadsBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReads_python3.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA.bam\n",
            "    log: results/logs/counts/umi/create_BAM.experimentMPRAworkshop.HepG2.2.DNA.log\n",
            "    jobid: 34\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:14 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_create_BAM:\n",
            "    input: example_data/counts/dna-3_S3_R1_001.fastq.gz, example_data/counts/dna-3_S3_R3_001.fastq.gz, example_data/counts/dna-3_S3_R2_001.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/FastQ2doubleIndexBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/library_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReadsBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReads_python3.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA.bam\n",
            "    log: results/logs/counts/umi/create_BAM.experimentMPRAworkshop.HepG2.3.DNA.log\n",
            "    jobid: 44\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:14 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_create_BAM:\n",
            "    input: example_data/counts/rna-2_S5_R1_001.fastq.gz, example_data/counts/rna-2_S5_R3_001.fastq.gz, example_data/counts/rna-2_S5_R2_001.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/FastQ2doubleIndexBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/library_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReadsBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReads_python3.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA.bam\n",
            "    log: results/logs/counts/umi/create_BAM.experimentMPRAworkshop.HepG2.2.RNA.log\n",
            "    jobid: 38\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:14 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_create_BAM:\n",
            "    input: example_data/counts/rna-1_S4_R1_001.fastq.gz, example_data/counts/rna-1_S4_R3_001.fastq.gz, example_data/counts/rna-1_S4_R2_001.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/FastQ2doubleIndexBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/library_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReadsBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReads_python3.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA.bam\n",
            "    log: results/logs/counts/umi/create_BAM.experimentMPRAworkshop.HepG2.1.RNA.log\n",
            "    jobid: 27\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[33mTouching output file results/assignment/assignMPRAworkshop/design_check.done.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:16 2024]\u001b[0m\n",
            "\u001b[32mFinished job 2.\u001b[0m\n",
            "\u001b[32m1 of 158 steps (1%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/assignment/assignMPRAworkshop/reference/reference.fa.fxi.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:16 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_fastq_split:\n",
            "    input: example_data/assignment/assoc_bc.fastq.gz, results/assignment/assignMPRAworkshop/design_check.done\n",
            "    output: results/assignment/assignMPRAworkshop/fastq/splits/BC.split0.fastq.gz\n",
            "    log: results/logs/assignment/fastq_split.assignMPRAworkshop.BC.log\n",
            "    jobid: 11\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/fastq/splits/BC.split0.fastq.gz; Input files updated by another job: results/assignment/assignMPRAworkshop/design_check.done\n",
            "    wildcards: assignment=assignMPRAworkshop, read=BC\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:16 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_fastq_split:\n",
            "    input: example_data/assignment/assoc_rev.fastq.gz, results/assignment/assignMPRAworkshop/design_check.done\n",
            "    output: results/assignment/assignMPRAworkshop/fastq/splits/REV.split0.fastq.gz\n",
            "    log: results/logs/assignment/fastq_split.assignMPRAworkshop.REV.log\n",
            "    jobid: 13\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/fastq/splits/REV.split0.fastq.gz; Input files updated by another job: results/assignment/assignMPRAworkshop/design_check.done\n",
            "    wildcards: assignment=assignMPRAworkshop, read=REV\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/65318a22b1fa4bfcea38ef4cbe5cac2b_\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/65318a22b1fa4bfcea38ef4cbe5cac2b_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:16 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_fastq_split:\n",
            "    input: example_data/assignment/assoc_fwd.fastq.gz, results/assignment/assignMPRAworkshop/design_check.done\n",
            "    output: results/assignment/assignMPRAworkshop/fastq/splits/FW.split0.fastq.gz\n",
            "    log: results/logs/assignment/fastq_split.assignMPRAworkshop.FW.log\n",
            "    jobid: 10\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/fastq/splits/FW.split0.fastq.gz; Input files updated by another job: results/assignment/assignMPRAworkshop/design_check.done\n",
            "    wildcards: assignment=assignMPRAworkshop, read=FW\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/65318a22b1fa4bfcea38ef4cbe5cac2b_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:19 2024]\u001b[0m\n",
            "\u001b[32mFinished job 11.\u001b[0m\n",
            "\u001b[32m2 of 158 steps (1%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:25 2024]\u001b[0m\n",
            "\u001b[32mFinished job 10.\u001b[0m\n",
            "\u001b[32m3 of 158 steps (2%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:25 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_attach_idx:\n",
            "    input: results/assignment/assignMPRAworkshop/fastq/splits/FW.split0.fastq.gz, results/assignment/assignMPRAworkshop/fastq/splits/BC.split0.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/attachBCToFastQ.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/common.py (cached)\n",
            "    output: results/assignment/assignMPRAworkshop/fastq/splits/FW.split0.BCattached.fastq.gz\n",
            "    log: results/logs/assignment/attach_idx.assignMPRAworkshop.0.FW.log\n",
            "    jobid: 9\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/fastq/splits/FW.split0.BCattached.fastq.gz; Input files updated by another job: results/assignment/assignMPRAworkshop/fastq/splits/BC.split0.fastq.gz, results/assignment/assignMPRAworkshop/fastq/splits/FW.split0.fastq.gz\n",
            "    wildcards: assignment=assignMPRAworkshop, read=FW, split=0\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/bb8949380f7226ba92e4a563406e4b7d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:26 2024]\u001b[0m\n",
            "\u001b[32mFinished job 13.\u001b[0m\n",
            "\u001b[32m4 of 158 steps (3%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:26 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_attach_idx:\n",
            "    input: results/assignment/assignMPRAworkshop/fastq/splits/REV.split0.fastq.gz, results/assignment/assignMPRAworkshop/fastq/splits/BC.split0.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/attachBCToFastQ.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/common.py (cached)\n",
            "    output: results/assignment/assignMPRAworkshop/fastq/splits/REV.split0.BCattached.fastq.gz\n",
            "    log: results/logs/assignment/attach_idx.assignMPRAworkshop.0.REV.log\n",
            "    jobid: 12\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/fastq/splits/REV.split0.BCattached.fastq.gz; Input files updated by another job: results/assignment/assignMPRAworkshop/fastq/splits/REV.split0.fastq.gz, results/assignment/assignMPRAworkshop/fastq/splits/BC.split0.fastq.gz\n",
            "    wildcards: assignment=assignMPRAworkshop, read=REV, split=0\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/bb8949380f7226ba92e4a563406e4b7d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:02:59 2024]\u001b[0m\n",
            "\u001b[32mFinished job 9.\u001b[0m\n",
            "\u001b[32m5 of 158 steps (3%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/assignment/assignMPRAworkshop/fastq/splits/FW.split0.fastq.gz.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:03:00 2024]\u001b[0m\n",
            "\u001b[32mFinished job 12.\u001b[0m\n",
            "\u001b[32m6 of 158 steps (4%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/assignment/assignMPRAworkshop/fastq/splits/REV.split0.fastq.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/assignment/assignMPRAworkshop/fastq/splits/BC.split0.fastq.gz.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:03:00 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_merge:\n",
            "    input: results/assignment/assignMPRAworkshop/fastq/splits/FW.split0.BCattached.fastq.gz, results/assignment/assignMPRAworkshop/fastq/splits/REV.split0.BCattached.fastq.gz\n",
            "    output: results/assignment/assignMPRAworkshop/fastq/merge_split0.un.fastq.gz, results/assignment/assignMPRAworkshop/fastq/merge_split0.join.fastq.gz\n",
            "    log: results/logs/assignment/merge.assignMPRAworkshop.0.log.gz\n",
            "    jobid: 8\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/fastq/merge_split0.join.fastq.gz; Input files updated by another job: results/assignment/assignMPRAworkshop/fastq/splits/REV.split0.BCattached.fastq.gz, results/assignment/assignMPRAworkshop/fastq/splits/FW.split0.BCattached.fastq.gz\n",
            "    wildcards: assignment=assignMPRAworkshop, split=0\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/bb8949380f7226ba92e4a563406e4b7d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:05:03 2024]\u001b[0m\n",
            "\u001b[32mFinished job 8.\u001b[0m\n",
            "\u001b[32m7 of 158 steps (4%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/assignment/assignMPRAworkshop/fastq/splits/FW.split0.BCattached.fastq.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/assignment/assignMPRAworkshop/fastq/splits/REV.split0.BCattached.fastq.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/assignment/assignMPRAworkshop/fastq/merge_split0.un.fastq.gz.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:06:44 2024]\u001b[0m\n",
            "\u001b[32mFinished job 44.\u001b[0m\n",
            "\u001b[32m8 of 158 steps (5%) done\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:06:44 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_raw_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA.bam\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    log: results/logs/counts/umi/raw_counts.experimentMPRAworkshop.HepG2.3.DNA.log\n",
            "    jobid: 43\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:06:55 2024]\u001b[0m\n",
            "\u001b[32mFinished job 34.\u001b[0m\n",
            "\u001b[32m9 of 158 steps (6%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:06:55 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_raw_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA.bam\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz\n",
            "    log: results/logs/counts/umi/raw_counts.experimentMPRAworkshop.HepG2.2.DNA.log\n",
            "    jobid: 33\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:06:58 2024]\u001b[0m\n",
            "\u001b[32mFinished job 23.\u001b[0m\n",
            "\u001b[32m10 of 158 steps (6%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:06:59 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_raw_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA.bam\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    log: results/logs/counts/umi/raw_counts.experimentMPRAworkshop.HepG2.1.DNA.log\n",
            "    jobid: 22\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:02 2024]\u001b[0m\n",
            "\u001b[32mFinished job 43.\u001b[0m\n",
            "\u001b[32m11 of 158 steps (7%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 2 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_3_DNA_raw.log\n",
            "    jobid: 102\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_filter_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/counts/filter_counts.experimentMPRAworkshop.HepG2.3.DNA.log\n",
            "    jobid: 42\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "15\n",
            "\u001b[32m[Wed Sep 18 14:07:04 2024]\u001b[0m\n",
            "\u001b[32mFinished job 102.\u001b[0m\n",
            "\u001b[32m12 of 158 steps (8%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:08 2024]\u001b[0m\n",
            "\u001b[32mFinished job 42.\u001b[0m\n",
            "\u001b[32m13 of 158 steps (8%) done\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:08 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_frequent_umis:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_DNA.txt\n",
            "    log: results/logs/statistic/counts/frequent_umis.experimentMPRAworkshop.HepG2.3.DNA.log\n",
            "    jobid: 125\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_DNA.txt; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:08 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_3_DNA_filtered.log\n",
            "    jobid: 114\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:08 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_final_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz\n",
            "    log: results/logs/counts/final_counts_umi.experimentMPRAworkshop.HepG2.3.DNA.log\n",
            "    jobid: 41\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:09 2024]\u001b[0m\n",
            "\u001b[32mFinished job 33.\u001b[0m\n",
            "\u001b[32m14 of 158 steps (9%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 2 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:09 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_filter_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/counts/filter_counts.experimentMPRAworkshop.HepG2.2.DNA.log\n",
            "    jobid: 32\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:09 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_raw_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_2_DNA_raw.log\n",
            "    jobid: 100\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "15\n",
            "\u001b[32m[Wed Sep 18 14:07:11 2024]\u001b[0m\n",
            "\u001b[32mFinished job 114.\u001b[0m\n",
            "\u001b[32m15 of 158 steps (9%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:11 2024]\u001b[0m\n",
            "\u001b[32mFinished job 41.\u001b[0m\n",
            "\u001b[32m16 of 158 steps (10%) done\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:11 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_barcode_base_composition:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/nucleotideCountPerPosition.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final.BC.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/barcode_base_composition.experimentMPRAworkshop.HepG2_3_DNA.log\n",
            "    jobid: 95\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:11 2024]\u001b[0m\n",
            "\u001b[32mFinished job 125.\u001b[0m\n",
            "\u001b[32m17 of 158 steps (11%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:12 2024]\u001b[0m\n",
            "\u001b[32mFinished job 100.\u001b[0m\n",
            "\u001b[32m18 of 158 steps (11%) done\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:14 2024]\u001b[0m\n",
            "\u001b[32mFinished job 22.\u001b[0m\n",
            "\u001b[32m19 of 158 steps (12%) done\u001b[0m\n",
            "\u001b[33mExecute 2 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:14 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_filter_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/counts/filter_counts.experimentMPRAworkshop.HepG2.1.DNA.log\n",
            "    jobid: 21\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:14 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_1_DNA_raw.log\n",
            "    jobid: 98\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "15\n",
            "\u001b[32m[Wed Sep 18 14:07:16 2024]\u001b[0m\n",
            "\u001b[32mFinished job 98.\u001b[0m\n",
            "\u001b[32m20 of 158 steps (13%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:16 2024]\u001b[0m\n",
            "\u001b[32mFinished job 32.\u001b[0m\n",
            "\u001b[32m21 of 158 steps (13%) done\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:17 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_frequent_umis:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_DNA.txt\n",
            "    log: results/logs/statistic/counts/frequent_umis.experimentMPRAworkshop.HepG2.2.DNA.log\n",
            "    jobid: 123\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_DNA.txt; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:17 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_2_DNA_filtered.log\n",
            "    jobid: 112\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:17 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_final_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz\n",
            "    log: results/logs/counts/final_counts_umi.experimentMPRAworkshop.HepG2.2.DNA.log\n",
            "    jobid: 31\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:18 2024]\u001b[0m\n",
            "\u001b[32mFinished job 112.\u001b[0m\n",
            "\u001b[32m22 of 158 steps (14%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:19 2024]\u001b[0m\n",
            "\u001b[32mFinished job 123.\u001b[0m\n",
            "\u001b[32m23 of 158 steps (15%) done\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:19 2024]\u001b[0m\n",
            "\u001b[32mFinished job 31.\u001b[0m\n",
            "\u001b[32m24 of 158 steps (15%) done\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:19 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_barcode_base_composition:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/nucleotideCountPerPosition.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final.BC.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/barcode_base_composition.experimentMPRAworkshop.HepG2_2_DNA.log\n",
            "    jobid: 93\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:21 2024]\u001b[0m\n",
            "\u001b[32mFinished job 21.\u001b[0m\n",
            "\u001b[32m25 of 158 steps (16%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:21 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_1_DNA_filtered.log\n",
            "    jobid: 110\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:21 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_final_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz\n",
            "    log: results/logs/counts/final_counts_umi.experimentMPRAworkshop.HepG2.1.DNA.log\n",
            "    jobid: 20\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:21 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_frequent_umis:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_DNA.txt\n",
            "    log: results/logs/statistic/counts/frequent_umis.experimentMPRAworkshop.HepG2.1.DNA.log\n",
            "    jobid: 121\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_DNA.txt; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:23 2024]\u001b[0m\n",
            "\u001b[32mFinished job 110.\u001b[0m\n",
            "\u001b[32m26 of 158 steps (16%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:23 2024]\u001b[0m\n",
            "\u001b[32mFinished job 20.\u001b[0m\n",
            "\u001b[32m27 of 158 steps (17%) done\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:23 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.DNA.tutorialConfig.counts.log\n",
            "    jobid: 136\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, type=DNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:23 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.default.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.DNA.default.counts.log\n",
            "    jobid: 133\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, type=DNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:23 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_barcode_base_composition:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/nucleotideCountPerPosition.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final.BC.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/barcode_base_composition.experimentMPRAworkshop.HepG2_1_DNA.log\n",
            "    jobid: 91\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:23 2024]\u001b[0m\n",
            "\u001b[32mFinished job 121.\u001b[0m\n",
            "\u001b[32m28 of 158 steps (18%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:34 2024]\u001b[0m\n",
            "\u001b[32mFinished job 133.\u001b[0m\n",
            "\u001b[32m29 of 158 steps (18%) done\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:34 2024]\u001b[0m\n",
            "\u001b[32mFinished job 136.\u001b[0m\n",
            "\u001b[32m30 of 158 steps (19%) done\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:07:56 2024]\u001b[0m\n",
            "\u001b[32mFinished job 95.\u001b[0m\n",
            "\u001b[32m31 of 158 steps (20%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final.BC.tsv.gz.\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:08:01 2024]\u001b[0m\n",
            "\u001b[32mFinished job 91.\u001b[0m\n",
            "\u001b[32m32 of 158 steps (20%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final.BC.tsv.gz.\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:08:02 2024]\u001b[0m\n",
            "\u001b[32mFinished job 93.\u001b[0m\n",
            "\u001b[32m33 of 158 steps (21%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final.BC.tsv.gz.\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:12:49 2024]\u001b[0m\n",
            "\u001b[32mFinished job 27.\u001b[0m\n",
            "\u001b[32m34 of 158 steps (22%) done\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:12:49 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_raw_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA.bam\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    log: results/logs/counts/umi/raw_counts.experimentMPRAworkshop.HepG2.1.RNA.log\n",
            "    jobid: 26\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:01 2024]\u001b[0m\n",
            "\u001b[32mFinished job 38.\u001b[0m\n",
            "\u001b[32m35 of 158 steps (22%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:01 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_raw_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA.bam\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    log: results/logs/counts/umi/raw_counts.experimentMPRAworkshop.HepG2.2.RNA.log\n",
            "    jobid: 37\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:05 2024]\u001b[0m\n",
            "\u001b[32mFinished job 26.\u001b[0m\n",
            "\u001b[32m36 of 158 steps (23%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:05 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_raw_BC_in_RNA_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA.experimentMPRAworkshop.HepG2_1_raw.log\n",
            "    jobid: 105\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_raw_BC_in_RNA_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:06 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_1_RNA_raw.log\n",
            "    jobid: 99\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:06 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_filter_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/counts/filter_counts.experimentMPRAworkshop.HepG2.1.RNA.log\n",
            "    jobid: 25\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "15\n",
            "\u001b[32m[Wed Sep 18 14:13:07 2024]\u001b[0m\n",
            "\u001b[32mFinished job 105.\u001b[0m\n",
            "\u001b[32m37 of 158 steps (23%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:08 2024]\u001b[0m\n",
            "\u001b[32mFinished job 99.\u001b[0m\n",
            "\u001b[32m38 of 158 steps (24%) done\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:17 2024]\u001b[0m\n",
            "\u001b[32mFinished job 25.\u001b[0m\n",
            "\u001b[32m39 of 158 steps (25%) done\u001b[0m\n",
            "\u001b[33mExecute 4 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:17 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_1_RNA_filtered.log\n",
            "    jobid: 111\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:17 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_final_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz\n",
            "    log: results/logs/counts/final_counts_umi.experimentMPRAworkshop.HepG2.1.RNA.log\n",
            "    jobid: 24\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:17 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_frequent_umis:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_RNA.txt\n",
            "    log: results/logs/statistic/counts/frequent_umis.experimentMPRAworkshop.HepG2.1.RNA.log\n",
            "    jobid: 120\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_RNA.txt; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:17 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_filtered_BC_in_RNA_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA.experimentMPRAworkshop.HepG2_1_filtered.log\n",
            "    jobid: 117\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_filtered_BC_in_RNA_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:19 2024]\u001b[0m\n",
            "\u001b[32mFinished job 117.\u001b[0m\n",
            "\u001b[32m40 of 158 steps (25%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:19 2024]\u001b[0m\n",
            "\u001b[32mFinished job 24.\u001b[0m\n",
            "\u001b[32m41 of 158 steps (26%) done\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:19 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz\n",
            "    log: results/logs/counts/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.1.default.log\n",
            "    jobid: 19\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, replicate=1, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:19 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_barcode_base_composition:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/nucleotideCountPerPosition.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final.BC.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_RNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/barcode_base_composition.experimentMPRAworkshop.HepG2_1_RNA.log\n",
            "    jobid: 90\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_RNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:19 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz\n",
            "    log: results/logs/counts/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.1.tutorialConfig.log\n",
            "    jobid: 67\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, replicate=1, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:19 2024]\u001b[0m\n",
            "\u001b[32mFinished job 37.\u001b[0m\n",
            "\u001b[32m42 of 158 steps (27%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:20 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_filter_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/counts/filter_counts.experimentMPRAworkshop.HepG2.2.RNA.log\n",
            "    jobid: 36\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:20 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_2_RNA_raw.log\n",
            "    jobid: 101\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:20 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_raw_BC_in_RNA_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA.experimentMPRAworkshop.HepG2_2_raw.log\n",
            "    jobid: 106\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_raw_BC_in_RNA_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "15\n",
            "\u001b[32m[Wed Sep 18 14:13:20 2024]\u001b[0m\n",
            "\u001b[32mFinished job 111.\u001b[0m\n",
            "\u001b[32m43 of 158 steps (27%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:22 2024]\u001b[0m\n",
            "\u001b[32mFinished job 67.\u001b[0m\n",
            "\u001b[32m44 of 158 steps (28%) done\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:22 2024]\u001b[0m\n",
            "\u001b[32mFinished job 19.\u001b[0m\n",
            "\u001b[32m45 of 158 steps (28%) done\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:22 2024]\u001b[0m\n",
            "\u001b[32mFinished job 120.\u001b[0m\n",
            "\u001b[32m46 of 158 steps (29%) done\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:22 2024]\u001b[0m\n",
            "\u001b[32mFinished job 106.\u001b[0m\n",
            "\u001b[32m47 of 158 steps (30%) done\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:23 2024]\u001b[0m\n",
            "\u001b[32mFinished job 101.\u001b[0m\n",
            "\u001b[32m48 of 158 steps (30%) done\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:33 2024]\u001b[0m\n",
            "\u001b[32mFinished job 36.\u001b[0m\n",
            "\u001b[32m49 of 158 steps (31%) done\u001b[0m\n",
            "\u001b[33mExecute 4 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:33 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_frequent_umis:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_RNA.txt\n",
            "    log: results/logs/statistic/counts/frequent_umis.experimentMPRAworkshop.HepG2.2.RNA.log\n",
            "    jobid: 122\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_RNA.txt; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:33 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_filtered_BC_in_RNA_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA.experimentMPRAworkshop.HepG2_2_filtered.log\n",
            "    jobid: 118\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_filtered_BC_in_RNA_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:33 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_2_RNA_filtered.log\n",
            "    jobid: 113\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:33 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_final_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz\n",
            "    log: results/logs/counts/final_counts_umi.experimentMPRAworkshop.HepG2.2.RNA.log\n",
            "    jobid: 35\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:35 2024]\u001b[0m\n",
            "\u001b[32mFinished job 118.\u001b[0m\n",
            "\u001b[32m50 of 158 steps (32%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:35 2024]\u001b[0m\n",
            "\u001b[32mFinished job 35.\u001b[0m\n",
            "\u001b[32m51 of 158 steps (32%) done\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:35 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_barcode_base_composition:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/nucleotideCountPerPosition.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final.BC.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_RNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/barcode_base_composition.experimentMPRAworkshop.HepG2_2_RNA.log\n",
            "    jobid: 92\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_RNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:35 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz\n",
            "    log: results/logs/counts/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.2.default.log\n",
            "    jobid: 30\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, replicate=2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:35 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz\n",
            "    log: results/logs/counts/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.2.tutorialConfig.log\n",
            "    jobid: 69\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, replicate=2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:36 2024]\u001b[0m\n",
            "\u001b[32mFinished job 113.\u001b[0m\n",
            "\u001b[32m52 of 158 steps (33%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:37 2024]\u001b[0m\n",
            "\u001b[32mFinished job 69.\u001b[0m\n",
            "\u001b[32m53 of 158 steps (34%) done\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:37 2024]\u001b[0m\n",
            "\u001b[32mFinished job 30.\u001b[0m\n",
            "\u001b[32m54 of 158 steps (34%) done\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:37 2024]\u001b[0m\n",
            "\u001b[32mFinished job 122.\u001b[0m\n",
            "\u001b[32m55 of 158 steps (35%) done\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:49 2024]\u001b[0m\n",
            "\u001b[32mFinished job 90.\u001b[0m\n",
            "\u001b[32m56 of 158 steps (35%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final.BC.tsv.gz.\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:53 2024]\u001b[0m\n",
            "\u001b[32mFinished job 48.\u001b[0m\n",
            "\u001b[32m57 of 158 steps (36%) done\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_raw_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA.bam\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    log: results/logs/counts/umi/raw_counts.experimentMPRAworkshop.HepG2.3.RNA.log\n",
            "    jobid: 47\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:13:57 2024]\u001b[0m\n",
            "\u001b[32mFinished job 92.\u001b[0m\n",
            "\u001b[32m58 of 158 steps (37%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final.BC.tsv.gz.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mWaiting for more resources.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:14:03 2024]\u001b[0m\n",
            "\u001b[32mFinished job 47.\u001b[0m\n",
            "\u001b[32m59 of 158 steps (37%) done\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:14:04 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_mapping_bbmap:\n",
            "    input: results/assignment/assignMPRAworkshop/fastq/merge_split0.join.fastq.gz, results/assignment/assignMPRAworkshop/design_check.done, results/assignment/assignMPRAworkshop/reference/reference.fa\n",
            "    output: results/assignment/assignMPRAworkshop/bbmap/merge_split0.unsorted.bam, results/assignment/assignMPRAworkshop/bbmap/merge_split0.mapped.bam\n",
            "    log: results/logs/assignment/mapping.bbmap.assignMPRAworkshop.0.log\n",
            "    jobid: 7\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/bbmap/merge_split0.mapped.bam; Input files updated by another job: results/assignment/assignMPRAworkshop/design_check.done, results/assignment/assignMPRAworkshop/reference/reference.fa, results/assignment/assignMPRAworkshop/fastq/merge_split0.join.fastq.gz\n",
            "    wildcards: assignment=assignMPRAworkshop, split=0\n",
            "    threads: 10\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ba6fd3111d8dfd17ea42d81a9f1e5bb7_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:02 2024]\u001b[0m\n",
            "\u001b[32mFinished job 7.\u001b[0m\n",
            "\u001b[32m60 of 158 steps (38%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/assignment/assignMPRAworkshop/fastq/merge_split0.join.fastq.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/assignment/assignMPRAworkshop/bbmap/merge_split0.unsorted.bam.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 5 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_collect:\n",
            "    input: results/assignment/assignMPRAworkshop/bbmap/merge_split0.mapped.bam\n",
            "    output: results/assignment/assignMPRAworkshop/aligned_merged_reads.bam\n",
            "    log: results/logs/assignment/collect.assignMPRAworkshop.log\n",
            "    jobid: 88\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/aligned_merged_reads.bam; Input files updated by another job: results/assignment/assignMPRAworkshop/bbmap/merge_split0.mapped.bam\n",
            "    wildcards: assignment=assignMPRAworkshop\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_mapping_bbmap_getBCs:\n",
            "    input: results/assignment/assignMPRAworkshop/bbmap/merge_split0.mapped.bam\n",
            "    output: results/assignment/assignMPRAworkshop/BCs/barcodes_bbmap.0.tsv\n",
            "    log: results/logs/assignment/mapping.bbmap.getBCs.assignMPRAworkshop.0.log\n",
            "    jobid: 6\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/BCs/barcodes_bbmap.0.tsv; Input files updated by another job: results/assignment/assignMPRAworkshop/bbmap/merge_split0.mapped.bam\n",
            "    wildcards: assignment=assignMPRAworkshop, split=0\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ba6fd3111d8dfd17ea42d81a9f1e5bb7_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_filter_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/counts/filter_counts.experimentMPRAworkshop.HepG2.3.RNA.log\n",
            "    jobid: 46\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_raw_BC_in_RNA_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA.experimentMPRAworkshop.HepG2_3_raw.log\n",
            "    jobid: 107\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_raw_BC_in_RNA_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_3_RNA_raw.log\n",
            "    jobid: 103\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "15\n",
            "\u001b[32m[Wed Sep 18 14:16:04 2024]\u001b[0m\n",
            "\u001b[32mFinished job 107.\u001b[0m\n",
            "\u001b[32m61 of 158 steps (39%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:04 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_raw_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_raw_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_raw_BC_in_RNA_DNA.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_raw.tsv\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA_merge.experimentMPRAworkshop.raw.log\n",
            "    jobid: 104\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_raw.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_raw_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_raw_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_raw_BC_in_RNA_DNA.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:04 2024]\u001b[0m\n",
            "\u001b[32mFinished job 104.\u001b[0m\n",
            "\u001b[32m62 of 158 steps (39%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_raw_BC_in_RNA_DNA.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_raw_BC_in_RNA_DNA.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_raw_BC_in_RNA_DNA.tsv.gz.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:05 2024]\u001b[0m\n",
            "\u001b[32mFinished job 103.\u001b[0m\n",
            "\u001b[32m63 of 158 steps (40%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:05 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_stats_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/count_raw.tsv\n",
            "    log: results/logs/statistic/counts/stats_merge.experimentMPRAworkshop.raw.log\n",
            "    jobid: 97\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/count_raw.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:05 2024]\u001b[0m\n",
            "\u001b[32mFinished job 97.\u001b[0m\n",
            "\u001b[32m64 of 158 steps (41%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_raw_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_raw_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_raw_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_raw_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_raw_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_raw_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:05 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_final:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/counts/count_raw.tsv, results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_raw.tsv, /data/MPRAsnakeflow/workflow/rules/../scripts/count/combine_count_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.raw.tsv\n",
            "    log: results/logs/statistic/counts/final.experimentMPRAworkshop.raw.log\n",
            "    jobid: 96\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.raw.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_raw.tsv, results/experiments/experimentMPRAworkshop/statistic/counts/count_raw.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:06 2024]\u001b[0m\n",
            "\u001b[32mFinished job 6.\u001b[0m\n",
            "\u001b[32m65 of 158 steps (41%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:06 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_collectBCs:\n",
            "    input: results/assignment/assignMPRAworkshop/BCs/barcodes_bbmap.0.tsv\n",
            "    output: results/assignment/assignMPRAworkshop/barcodes_incl_other.tsv.gz\n",
            "    log: results/logs/assignment/collectBCs.assignMPRAworkshop.log\n",
            "    jobid: 5\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/barcodes_incl_other.tsv.gz; Input files updated by another job: results/assignment/assignMPRAworkshop/BCs/barcodes_bbmap.0.tsv\n",
            "    wildcards: assignment=assignMPRAworkshop\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\n",
            "Attaching package: ‘dplyr’\n",
            "\n",
            "The following objects are masked from ‘package:stats’:\n",
            "\n",
            "    filter, lag\n",
            "\n",
            "The following objects are masked from ‘package:base’:\n",
            "\n",
            "    intersect, setdiff, setequal, union\n",
            "\n",
            "\u001b[1mRows: \u001b[22m\u001b[34m6\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m8\u001b[39m\n",
            "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n",
            "\u001b[1mDelimiter:\u001b[22m \"\\t\"\n",
            "\u001b[31mchr\u001b[39m (2): X1, X3\n",
            "\u001b[32mdbl\u001b[39m (6): X2, X4, X5, X6, X7, X8\n",
            "\n",
            "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
            "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n",
            "\u001b[1mRows: \u001b[22m\u001b[34m3\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m3\u001b[39m\n",
            "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n",
            "\u001b[1mDelimiter:\u001b[22m \"\\t\"\n",
            "\u001b[31mchr\u001b[39m (1): X1\n",
            "\u001b[32mdbl\u001b[39m (2): X2, X3\n",
            "\n",
            "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
            "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n",
            "\u001b[1m\u001b[22mJoining with `by = join_by(Condition, Replicate)`\n",
            "\u001b[32m[Wed Sep 18 14:16:08 2024]\u001b[0m\n",
            "\u001b[32mFinished job 96.\u001b[0m\n",
            "\u001b[32m66 of 158 steps (42%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/count_raw.tsv.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_raw.tsv.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:09 2024]\u001b[0m\n",
            "\u001b[32mFinished job 5.\u001b[0m\n",
            "\u001b[32m67 of 158 steps (42%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/assignment/assignMPRAworkshop/BCs/barcodes_bbmap.0.tsv.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 2 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:09 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_statistic_totalCounts:\n",
            "    input: results/assignment/assignMPRAworkshop/barcodes_incl_other.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/assignment/statistic_total_counts.py (cached)\n",
            "    output: results/assignment/assignMPRAworkshop/statistic/total_counts.tsv\n",
            "    log: results/logs/assignment/statistic_totalCounts.assignMPRAworkshop.log\n",
            "    jobid: 14\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/statistic/total_counts.tsv; Input files updated by another job: results/assignment/assignMPRAworkshop/barcodes_incl_other.tsv.gz\n",
            "    wildcards: assignment=assignMPRAworkshop\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:09 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_filter:\n",
            "    input: results/assignment/assignMPRAworkshop/barcodes_incl_other.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/assignment/filterAssignmentTsv.py (cached)\n",
            "    output: results/assignment/assignMPRAworkshop/assignment_barcodes.default.tsv.gz, results/assignment/assignMPRAworkshop/assignment_barcodes_with_ambigous.default.tsv.gz\n",
            "    log: results/logs/assignment/filter.assignMPRAworkshop.default.log, results/logs/assignment/filter.assignMPRAworkshop.default.err\n",
            "    jobid: 4\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/assignment_barcodes_with_ambigous.default.tsv.gz, results/assignment/assignMPRAworkshop/assignment_barcodes.default.tsv.gz; Input files updated by another job: results/assignment/assignMPRAworkshop/barcodes_incl_other.tsv.gz\n",
            "    wildcards: assignment=assignMPRAworkshop, assignment_config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:13 2024]\u001b[0m\n",
            "\u001b[32mFinished job 14.\u001b[0m\n",
            "\u001b[32m68 of 158 steps (43%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:15 2024]\u001b[0m\n",
            "\u001b[32mFinished job 4.\u001b[0m\n",
            "\u001b[32m69 of 158 steps (44%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:15 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_filterAssignment:\n",
            "    input: results/assignment/assignMPRAworkshop/assignment_barcodes.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/samplerer_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    log: results/logs/assigned_counts/filterAssignment.experimentMPRAworkshop.MPRAworkshop.log\n",
            "    jobid: 28\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz; Input files updated by another job: results/assignment/assignMPRAworkshop/assignment_barcodes.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:15 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_statistic_assignedCounts:\n",
            "    input: results/assignment/assignMPRAworkshop/assignment_barcodes_with_ambigous.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/assignment/statistic_total_counts.py (cached)\n",
            "    output: results/assignment/assignMPRAworkshop/statistic/assigned_counts.default.tsv\n",
            "    log: results/logs/assignment/statistic_assignedCounts.assignMPRAworkshop.default.log\n",
            "    jobid: 3\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/statistic/assigned_counts.default.tsv; Input files updated by another job: results/assignment/assignMPRAworkshop/assignment_barcodes_with_ambigous.default.tsv.gz\n",
            "    wildcards: assignment=assignMPRAworkshop, assignment_config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:15 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_statistic_assignment:\n",
            "    input: results/assignment/assignMPRAworkshop/assignment_barcodes.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/assignment/statistic_assignment.R (cached)\n",
            "    output: results/assignment/assignMPRAworkshop/statistic/assignment.default.tsv.gz, results/assignment/assignMPRAworkshop/statistic/assignment.default.png\n",
            "    log: results/logs/assignment/statistic_assignment.assignMPRAworkshop.default.log\n",
            "    jobid: 15\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/statistic/assignment.default.png; Input files updated by another job: results/assignment/assignMPRAworkshop/assignment_barcodes.default.tsv.gz\n",
            "    wildcards: assignment=assignMPRAworkshop, assignment_config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:16 2024]\u001b[0m\n",
            "\u001b[32mFinished job 46.\u001b[0m\n",
            "\u001b[32m70 of 158 steps (44%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 4 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:16 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_filtered_BC_in_RNA_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA.experimentMPRAworkshop.HepG2_3_filtered.log\n",
            "    jobid: 119\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_filtered_BC_in_RNA_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:16 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_frequent_umis:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_RNA.txt\n",
            "    log: results/logs/statistic/counts/frequent_umis.experimentMPRAworkshop.HepG2.3.RNA.log\n",
            "    jobid: 124\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_RNA.txt; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:16 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_3_RNA_filtered.log\n",
            "    jobid: 115\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:16 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_final_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    log: results/logs/counts/final_counts_umi.experimentMPRAworkshop.HepG2.3.RNA.log\n",
            "    jobid: 45\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:19 2024]\u001b[0m\n",
            "\u001b[32mFinished job 3.\u001b[0m\n",
            "\u001b[32m71 of 158 steps (45%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:19 2024]\u001b[0m\n",
            "\u001b[32mFinished job 88.\u001b[0m\n",
            "\u001b[32m72 of 158 steps (46%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/assignment/assignMPRAworkshop/bbmap/merge_split0.mapped.bam.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:19 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_idx_bam:\n",
            "    input: results/assignment/assignMPRAworkshop/aligned_merged_reads.bam\n",
            "    output: results/assignment/assignMPRAworkshop/aligned_merged_reads.bam.bai\n",
            "    log: results/logs/assignment/assignMPRAworkshop/assignment_idx_bam.log\n",
            "    jobid: 89\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/aligned_merged_reads.bam.bai; Input files updated by another job: results/assignment/assignMPRAworkshop/aligned_merged_reads.bam\n",
            "    wildcards: assignment=assignMPRAworkshop\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:20 2024]\u001b[0m\n",
            "\u001b[32mFinished job 119.\u001b[0m\n",
            "\u001b[32m73 of 158 steps (46%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:20 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_filtered_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_filtered_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_filtered_BC_in_RNA_DNA.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_filtered.tsv\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA_merge.experimentMPRAworkshop.filtered.log\n",
            "    jobid: 116\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_filtered.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_filtered_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_filtered_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_filtered_BC_in_RNA_DNA.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:20 2024]\u001b[0m\n",
            "\u001b[32mFinished job 45.\u001b[0m\n",
            "\u001b[32m74 of 158 steps (47%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 4 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:20 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz\n",
            "    log: results/logs/counts/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.3.default.log\n",
            "    jobid: 40\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, replicate=3, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:20 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.default.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.RNA.default.counts.log\n",
            "    jobid: 134\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, type=RNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:20 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_barcode_base_composition:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/nucleotideCountPerPosition.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final.BC.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_RNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/barcode_base_composition.experimentMPRAworkshop.HepG2_3_RNA.log\n",
            "    jobid: 94\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_RNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:20 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz\n",
            "    log: results/logs/counts/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.3.tutorialConfig.log\n",
            "    jobid: 71\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, replicate=3, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:20 2024]\u001b[0m\n",
            "\u001b[32mFinished job 116.\u001b[0m\n",
            "\u001b[32m75 of 158 steps (47%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_filtered_BC_in_RNA_DNA.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_filtered_BC_in_RNA_DNA.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_filtered_BC_in_RNA_DNA.tsv.gz.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:20 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.RNA.tutorialConfig.counts.log\n",
            "    jobid: 137\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, type=RNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:21 2024]\u001b[0m\n",
            "\u001b[32mFinished job 115.\u001b[0m\n",
            "\u001b[32m76 of 158 steps (48%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:21 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_stats_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/count_filtered.tsv\n",
            "    log: results/logs/statistic/counts/stats_merge.experimentMPRAworkshop.filtered.log\n",
            "    jobid: 109\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/count_filtered.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:22 2024]\u001b[0m\n",
            "\u001b[32mFinished job 28.\u001b[0m\n",
            "\u001b[32m77 of 158 steps (49%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:22 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_default.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.1.RNA.default.MPRAworkshop.log\n",
            "    jobid: 56\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_default.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=1, type=RNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:22 2024]\u001b[0m\n",
            "\u001b[32mFinished job 109.\u001b[0m\n",
            "\u001b[32m78 of 158 steps (49%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_filtered_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_filtered_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_filtered_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_filtered_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_filtered_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_filtered_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:22 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_final:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/counts/count_filtered.tsv, results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_filtered.tsv, /data/MPRAsnakeflow/workflow/rules/../scripts/count/combine_count_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.filtered.tsv\n",
            "    log: results/logs/statistic/counts/final.experimentMPRAworkshop.filtered.log\n",
            "    jobid: 108\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.filtered.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/counts/count_filtered.tsv, results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_filtered.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:22 2024]\u001b[0m\n",
            "\u001b[32mFinished job 71.\u001b[0m\n",
            "\u001b[32m79 of 158 steps (50%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:22 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_label.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge.experimentMPRAworkshop.HepG2.1.tutorialConfig.log\n",
            "    jobid: 66\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2, replicate=1\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:22 2024]\u001b[0m\n",
            "\u001b[32mFinished job 40.\u001b[0m\n",
            "\u001b[32m80 of 158 steps (51%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:22 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.2.RNA.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 80\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=2, type=RNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:23 2024]\u001b[0m\n",
            "\u001b[32mFinished job 124.\u001b[0m\n",
            "\u001b[32m81 of 158 steps (51%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:23 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_label.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge.experimentMPRAworkshop.HepG2.1.default.log\n",
            "    jobid: 18\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_barcode_assigned_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2, replicate=1\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\n",
            "Attaching package: ‘dplyr’\n",
            "\n",
            "The following objects are masked from ‘package:stats’:\n",
            "\n",
            "    filter, lag\n",
            "\n",
            "The following objects are masked from ‘package:base’:\n",
            "\n",
            "    intersect, setdiff, setequal, union\n",
            "\n",
            "\u001b[1mRows: \u001b[22m\u001b[34m6\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m8\u001b[39m\n",
            "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n",
            "\u001b[1mDelimiter:\u001b[22m \"\\t\"\n",
            "\u001b[31mchr\u001b[39m (2): X1, X3\n",
            "\u001b[32mdbl\u001b[39m (6): X2, X4, X5, X6, X7, X8\n",
            "\n",
            "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
            "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n",
            "\u001b[1mRows: \u001b[22m\u001b[34m3\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m3\u001b[39m\n",
            "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n",
            "\u001b[1mDelimiter:\u001b[22m \"\\t\"\n",
            "\u001b[31mchr\u001b[39m (1): X1\n",
            "\u001b[32mdbl\u001b[39m (2): X2, X3\n",
            "\n",
            "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
            "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n",
            "\u001b[1m\u001b[22mJoining with `by = join_by(Condition, Replicate)`\n",
            "\u001b[32m[Wed Sep 18 14:16:28 2024]\u001b[0m\n",
            "\u001b[32mFinished job 108.\u001b[0m\n",
            "\u001b[32m82 of 158 steps (52%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/count_filtered.tsv.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_filtered.tsv.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:28 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_default.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.1.DNA.default.MPRAworkshop.log\n",
            "    jobid: 53\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_default.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=1, type=DNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:29 2024]\u001b[0m\n",
            "\u001b[32mFinished job 15.\u001b[0m\n",
            "\u001b[32m83 of 158 steps (53%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:29 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.1.RNA.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 79\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=1, type=RNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:30 2024]\u001b[0m\n",
            "\u001b[32mFinished job 134.\u001b[0m\n",
            "\u001b[32m84 of 158 steps (53%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:30 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_combine_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.default.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.default.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.default.tsv\n",
            "    log: results/logs/statistic/bc_overlap/combine_counts.experimentMPRAworkshop.default.log\n",
            "    jobid: 132\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.default.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.default.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:31 2024]\u001b[0m\n",
            "\u001b[32mFinished job 137.\u001b[0m\n",
            "\u001b[32m85 of 158 steps (54%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:31 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_combine_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.tutorialConfig.tsv\n",
            "    log: results/logs/statistic/bc_overlap/combine_counts.experimentMPRAworkshop.tutorialConfig.log\n",
            "    jobid: 135\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:31 2024]\u001b[0m\n",
            "\u001b[32mFinished job 132.\u001b[0m\n",
            "\u001b[32m86 of 158 steps (54%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.default.tsv.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.default.tsv.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:32 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_label.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge.experimentMPRAworkshop.HepG2.3.default.log\n",
            "    jobid: 39\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2, replicate=3\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:32 2024]\u001b[0m\n",
            "\u001b[32mFinished job 135.\u001b[0m\n",
            "\u001b[32m87 of 158 steps (55%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:32 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts_hist:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_RNA_perBarcode.png\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts_hist.experimentMPRAworkshop.HepG2.tutorialConfig.counts.log\n",
            "    jobid: 131\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_RNA_perBarcode.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:32 2024]\u001b[0m\n",
            "\u001b[32mFinished job 66.\u001b[0m\n",
            "\u001b[32m88 of 158 steps (56%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:32 2024]\u001b[0m\n",
            "\u001b[32mlocalrule qc_report_assoc:\n",
            "    input: /data/MPRAsnakeflow/workflow/rules/../scripts/report/qc_report_assoc.qmd (cached), example_data/design/workshop_design.fa, results/assignment/assignMPRAworkshop/reference/reference.fa, results/assignment/assignMPRAworkshop/statistic/assigned_counts.default.tsv, results/assignment/assignMPRAworkshop/statistic/total_counts.tsv, results/assignment/assignMPRAworkshop/statistic/assignment.default.png\n",
            "    output: results/assignment/assignMPRAworkshop/qc_report.default.html, results/assignment/assignMPRAworkshop/qc_report.default.qmd\n",
            "    log: results/logs/qc_report/assoc.assignMPRAworkshop.default.log\n",
            "    jobid: 1\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/qc_report.default.html; Input files updated by another job: results/assignment/assignMPRAworkshop/statistic/assignment.default.png, results/assignment/assignMPRAworkshop/reference/reference.fa, results/assignment/assignMPRAworkshop/statistic/assigned_counts.default.tsv, results/assignment/assignMPRAworkshop/statistic/total_counts.tsv\n",
            "    wildcards: assignment=assignMPRAworkshop, assignment_config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/5e2aae8e57563b133d3b468a46fc84fb_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:32 2024]\u001b[0m\n",
            "\u001b[32mFinished job 89.\u001b[0m\n",
            "\u001b[32m89 of 158 steps (56%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:32 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_default.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.3.RNA.default.MPRAworkshop.log\n",
            "    jobid: 58\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.default.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=3, type=RNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:32 2024]\u001b[0m\n",
            "\u001b[32mFinished job 18.\u001b[0m\n",
            "\u001b[32m90 of 158 steps (57%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:33 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_default.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.3.DNA.default.MPRAworkshop.log\n",
            "    jobid: 55\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_default.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=3, type=DNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:43 2024]\u001b[0m\n",
            "\u001b[32mFinished job 39.\u001b[0m\n",
            "\u001b[32m91 of 158 steps (58%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:44 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_label.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge.experimentMPRAworkshop.HepG2.3.tutorialConfig.log\n",
            "    jobid: 70\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2, replicate=3\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:51 2024]\u001b[0m\n",
            "\u001b[32mFinished job 131.\u001b[0m\n",
            "\u001b[32m92 of 158 steps (58%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:52 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_label.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge.experimentMPRAworkshop.HepG2.2.tutorialConfig.log\n",
            "    jobid: 68\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2, replicate=2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:54 2024]\u001b[0m\n",
            "\u001b[32mFinished job 70.\u001b[0m\n",
            "\u001b[32m93 of 158 steps (59%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:16:54 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts_hist:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_RNA_perBarcode.png\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts_hist.experimentMPRAworkshop.HepG2.default.counts.log\n",
            "    jobid: 130\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_DNA_perBarcode.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:00 2024]\u001b[0m\n",
            "\u001b[32mFinished job 53.\u001b[0m\n",
            "\u001b[32m94 of 158 steps (59%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:00 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.3.DNA.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 78\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=3, type=DNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:01 2024]\u001b[0m\n",
            "\u001b[32mFinished job 68.\u001b[0m\n",
            "\u001b[32m95 of 158 steps (60%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:01 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assignment_flagstat:\n",
            "    input: results/assignment/assignMPRAworkshop/aligned_merged_reads.bam, results/assignment/assignMPRAworkshop/aligned_merged_reads.bam.bai\n",
            "    output: results/assignment/assignMPRAworkshop/statistic/assignment/bam_stats.txt\n",
            "    log: results/logs/assignment/flagstat.assignMPRAworkshop.log\n",
            "    jobid: 87\n",
            "    reason: Missing output files: results/assignment/assignMPRAworkshop/statistic/assignment/bam_stats.txt; Input files updated by another job: results/assignment/assignMPRAworkshop/aligned_merged_reads.bam.bai, results/assignment/assignMPRAworkshop/aligned_merged_reads.bam\n",
            "    wildcards: assignment=assignMPRAworkshop\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:03 2024]\u001b[0m\n",
            "\u001b[32mFinished job 80.\u001b[0m\n",
            "\u001b[32m96 of 158 steps (61%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:03 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.2.DNA.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 77\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=2, type=DNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:04 2024]\u001b[0m\n",
            "\u001b[32mFinished job 56.\u001b[0m\n",
            "\u001b[32m97 of 158 steps (61%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:04 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_stats_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.statistic.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_statistic_tables.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/combined/HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/statistic/assigned_counts/combine_stats_dna_rna_merge.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 73\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/combined/HepG2_merged_assigned_counts.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:05 2024]\u001b[0m\n",
            "\u001b[32mFinished job 55.\u001b[0m\n",
            "\u001b[32m98 of 158 steps (62%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:05 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.3.RNA.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 81\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_tutorialConfig.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=3, type=RNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:08 2024]\u001b[0m\n",
            "\u001b[32mFinished job 73.\u001b[0m\n",
            "\u001b[32m99 of 158 steps (63%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:08 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_default.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.2.DNA.default.MPRAworkshop.log\n",
            "    jobid: 54\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_default.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=2, type=DNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:08 2024]\u001b[0m\n",
            "\u001b[32mFinished job 79.\u001b[0m\n",
            "\u001b[32m100 of 158 steps (63%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:09 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_hist_box_plots:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, example_data/design/workshop_labels.tsv, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perInsertCounts_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna_minThreshold.png\n",
            "    log: results/logs/statistic/correlation/hist_box_plots.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 86\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna_minThreshold.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:10 2024]\u001b[0m\n",
            "\u001b[32mFinished job 130.\u001b[0m\n",
            "\u001b[32m101 of 158 steps (64%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:10 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_combine_replicates_barcode_output:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_barcode_assigned_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_replicates_barcode_counts.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz\n",
            "    log: results/logs/assigned_counts/combine_replicates_barcode_output.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 155\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_barcode_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:13 2024]\u001b[0m\n",
            "\u001b[32mFinished job 87.\u001b[0m\n",
            "\u001b[32m102 of 158 steps (65%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:13 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_default.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.2.RNA.default.MPRAworkshop.log\n",
            "    jobid: 57\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_default.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=2, type=RNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:16 2024]\u001b[0m\n",
            "\u001b[32mFinished job 58.\u001b[0m\n",
            "\u001b[32m103 of 158 steps (65%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:16 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.default.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.default.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.3.default.log\n",
            "    jobid: 62\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.default.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, replicate=3, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:17 2024]\u001b[0m\n",
            "\u001b[32mFinished job 62.\u001b[0m\n",
            "\u001b[32m104 of 158 steps (66%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:17 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_label.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge.experimentMPRAworkshop.HepG2.2.default.log\n",
            "    jobid: 29\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2, replicate=2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:18 2024]\u001b[0m\n",
            "\u001b[32mFinished job 1.\u001b[0m\n",
            "\u001b[32m105 of 158 steps (66%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/assignment/assignMPRAworkshop/qc_report.default.qmd.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:18 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_correlation.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_correlation.tsv\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts.experimentMPRAworkshop.HepG2.default.counts.log\n",
            "    jobid: 127\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_correlation.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:18 2024]\u001b[0m\n",
            "\u001b[32mFinished job 155.\u001b[0m\n",
            "\u001b[32m106 of 158 steps (67%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:19 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.1.DNA.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 76\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=1, type=DNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:23 2024]\u001b[0m\n",
            "\u001b[32mFinished job 94.\u001b[0m\n",
            "\u001b[32m107 of 158 steps (68%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final.BC.tsv.gz.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:23 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_make_master_tables:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/make_master_tables.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_average_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.tsv.gz\n",
            "    log: results/logs/assigned_counts/make_master_tables.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 149\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:27 2024]\u001b[0m\n",
            "\u001b[32mFinished job 29.\u001b[0m\n",
            "\u001b[32m108 of 158 steps (68%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:27 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_hist_box_plots:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz, example_data/design/workshop_labels.tsv, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perInsertCounts_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna_minThreshold.png\n",
            "    log: results/logs/statistic/correlation/hist_box_plots.experimentMPRAworkshop.HepG2.default.MPRAworkshop.log\n",
            "    jobid: 63\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna_minThreshold.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:28 2024]\u001b[0m\n",
            "\u001b[32mFinished job 149.\u001b[0m\n",
            "\u001b[32m109 of 158 steps (69%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:29 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_combine_replicates:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/combine_replicates.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.combined.tsv.gz\n",
            "    log: results/logs/assigned_counts/combine_replicates.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.allreps_minThreshold.log\n",
            "    jobid: 153\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.combined.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2, allreps_or_threshold=allreps_minThreshold\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:31 2024]\u001b[0m\n",
            "\u001b[32mFinished job 77.\u001b[0m\n",
            "\u001b[32m110 of 158 steps (70%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:32 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.tutorialConfig.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.2.tutorialConfig.log\n",
            "    jobid: 84\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, replicate=2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:32 2024]\u001b[0m\n",
            "\u001b[32mFinished job 78.\u001b[0m\n",
            "\u001b[32m111 of 158 steps (70%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:32 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_calculate:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz, example_data/design/workshop_labels.tsv, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perInsertCounts_correlation.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation_minThreshold.tsv\n",
            "    log: results/logs/statistic/correlation/calculate.experimentMPRAworkshop.HepG2.default.MPRAworkshop.log\n",
            "    jobid: 17\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation_minThreshold.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, assignment=MPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:32 2024]\u001b[0m\n",
            "\u001b[32mFinished job 153.\u001b[0m\n",
            "\u001b[32m112 of 158 steps (71%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:32 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_combine_replicates:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/combine_replicates.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.combined.tsv.gz\n",
            "    log: results/logs/assigned_counts/combine_replicates.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.allreps.log\n",
            "    jobid: 151\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.combined.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2, allreps_or_threshold=allreps\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:33 2024]\u001b[0m\n",
            "\u001b[32mFinished job 84.\u001b[0m\n",
            "\u001b[32m113 of 158 steps (72%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:33 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_stats_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.statistic.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_statistic_tables.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/combined/HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/statistic/assigned_counts/combine_stats_dna_rna_merge.experimentMPRAworkshop.HepG2.default.MPRAworkshop.log\n",
            "    jobid: 50\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/combined/HepG2_merged_assigned_counts.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:36 2024]\u001b[0m\n",
            "\u001b[32mFinished job 151.\u001b[0m\n",
            "\u001b[32m114 of 158 steps (72%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:36 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.default.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.default.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.1.default.log\n",
            "    jobid: 60\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.default.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, replicate=1, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:36 2024]\u001b[0m\n",
            "\u001b[32mFinished job 50.\u001b[0m\n",
            "\u001b[32m115 of 158 steps (73%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:36 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_stats_dna_rna_merge_all:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/combined/HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_default.tsv\n",
            "    log: results/logs/statistic/assigned_counts/combine_stats_dna_rna_merge_all.experimentMPRAworkshop.default.MPRAworkshop.log\n",
            "    jobid: 49\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/combined/HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:37 2024]\u001b[0m\n",
            "\u001b[32mFinished job 54.\u001b[0m\n",
            "\u001b[32m116 of 158 steps (73%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:37 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.default.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.DNA.default.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 143\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, type=DNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:37 2024]\u001b[0m\n",
            "\u001b[32mFinished job 49.\u001b[0m\n",
            "\u001b[32m117 of 158 steps (74%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:37 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_make_master_tables:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/make_master_tables.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_average_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.tsv.gz\n",
            "    log: results/logs/assigned_counts/make_master_tables.experimentMPRAworkshop.HepG2.default.MPRAworkshop.log\n",
            "    jobid: 148\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:38 2024]\u001b[0m\n",
            "\u001b[32mFinished job 60.\u001b[0m\n",
            "\u001b[32m118 of 158 steps (75%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:38 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_combine_replicates_barcode_output:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_barcode_assigned_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_replicates_barcode_counts.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz\n",
            "    log: results/logs/assigned_counts/combine_replicates_barcode_output.experimentMPRAworkshop.HepG2.default.MPRAworkshop.log\n",
            "    jobid: 154\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_barcode_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:43 2024]\u001b[0m\n",
            "\u001b[32mFinished job 148.\u001b[0m\n",
            "\u001b[32m119 of 158 steps (75%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:44 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_combine_replicates:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/combine_replicates.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.combined.tsv.gz\n",
            "    log: results/logs/assigned_counts/combine_replicates.experimentMPRAworkshop.HepG2.default.MPRAworkshop.allreps_minThreshold.log\n",
            "    jobid: 152\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.combined.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2, allreps_or_threshold=allreps_minThreshold\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:45 2024]\u001b[0m\n",
            "\u001b[32mFinished job 143.\u001b[0m\n",
            "\u001b[32m120 of 158 steps (76%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:45 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_combine_replicates:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/combine_replicates.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.combined.tsv.gz\n",
            "    log: results/logs/assigned_counts/combine_replicates.experimentMPRAworkshop.HepG2.default.MPRAworkshop.allreps.log\n",
            "    jobid: 150\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.combined.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2, allreps_or_threshold=allreps\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:46 2024]\u001b[0m\n",
            "\u001b[32mFinished job 81.\u001b[0m\n",
            "\u001b[32m121 of 158 steps (77%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:46 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.tutorialConfig.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.3.tutorialConfig.log\n",
            "    jobid: 85\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, replicate=3, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:48 2024]\u001b[0m\n",
            "\u001b[32mFinished job 154.\u001b[0m\n",
            "\u001b[32m122 of 158 steps (77%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:48 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.RNA.tutorialConfig.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 147\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, type=RNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:48 2024]\u001b[0m\n",
            "\u001b[32mFinished job 85.\u001b[0m\n",
            "\u001b[32m123 of 158 steps (78%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:48 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_stats_dna_rna_merge_all:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/combined/HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv\n",
            "    log: results/logs/statistic/assigned_counts/combine_stats_dna_rna_merge_all.experimentMPRAworkshop.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 72\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/combined/HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:50 2024]\u001b[0m\n",
            "\u001b[32mFinished job 72.\u001b[0m\n",
            "\u001b[32m124 of 158 steps (78%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:50 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_correlation.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts.experimentMPRAworkshop.HepG2.tutorialConfig.counts.log\n",
            "    jobid: 129\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_correlation.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:51 2024]\u001b[0m\n",
            "\u001b[32mFinished job 152.\u001b[0m\n",
            "\u001b[32m125 of 158 steps (79%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:51 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_calculate:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, example_data/design/workshop_labels.tsv, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perInsertCounts_correlation.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation_minThreshold.tsv\n",
            "    log: results/logs/statistic/correlation/calculate.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 65\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, assignment=MPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:52 2024]\u001b[0m\n",
            "\u001b[32mFinished job 150.\u001b[0m\n",
            "\u001b[32m126 of 158 steps (80%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:53 2024]\u001b[0m\n",
            "\u001b[32mFinished job 76.\u001b[0m\n",
            "\u001b[32m127 of 158 steps (80%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 2 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.DNA.tutorialConfig.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 146\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, type=DNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_BC_assignment_stats_helper:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_tutorialConfig.statistic.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/statistic/assigned_counts/combine_BC_assignment_stats_helper.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 75\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.tutorialConfig.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_tutorialConfig.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:54 2024]\u001b[0m\n",
            "\u001b[32mFinished job 75.\u001b[0m\n",
            "\u001b[32m128 of 158 steps (81%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:55 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_BC_assignment_stats:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.tutorialConfig.statistic.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv\n",
            "    log: results/logs/statistic/assigned_counts/combine_BC_assignment_stats.experimentMPRAworkshop.MPRAworkshop_tutorialConfig.log\n",
            "    jobid: 74\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.tutorialConfig.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:56 2024]\u001b[0m\n",
            "\u001b[32mFinished job 74.\u001b[0m\n",
            "\u001b[32m129 of 158 steps (82%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.tutorialConfig.statistic.tsv.gz.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:56 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.1.tutorialConfig.log\n",
            "    jobid: 83\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, replicate=1, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:56 2024]\u001b[0m\n",
            "\u001b[32mFinished job 57.\u001b[0m\n",
            "\u001b[32m130 of 158 steps (82%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:56 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.default.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.default.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.2.default.log\n",
            "    jobid: 61\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.default.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, replicate=2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:57 2024]\u001b[0m\n",
            "\u001b[32mFinished job 83.\u001b[0m\n",
            "\u001b[32m131 of 158 steps (83%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:57 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_BC_assignment_stats_helper:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_default.statistic.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.default.statistic.tsv.gz\n",
            "    log: results/logs/statistic/assigned_counts/combine_BC_assignment_stats_helper.experimentMPRAworkshop.HepG2.default.MPRAworkshop.log\n",
            "    jobid: 52\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.default.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_default.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:57 2024]\u001b[0m\n",
            "\u001b[32mFinished job 61.\u001b[0m\n",
            "\u001b[32m132 of 158 steps (84%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:57 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_correlation.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_correlation.tsv\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts.experimentMPRAworkshop.HepG2.default.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 139\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_correlation.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:57 2024]\u001b[0m\n",
            "\u001b[32mFinished job 147.\u001b[0m\n",
            "\u001b[32m133 of 158 steps (84%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:58 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts_hist:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_RNA_perBarcode.png\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts_hist.experimentMPRAworkshop.HepG2.default.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 59\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_RNA_perBarcode.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:58 2024]\u001b[0m\n",
            "\u001b[32mFinished job 52.\u001b[0m\n",
            "\u001b[32m134 of 158 steps (85%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:58 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_BC_assignment_stats:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.default.statistic.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_default.tsv\n",
            "    log: results/logs/statistic/assigned_counts/combine_BC_assignment_stats.experimentMPRAworkshop.MPRAworkshop_default.log\n",
            "    jobid: 51\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.default.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:59 2024]\u001b[0m\n",
            "\u001b[32mFinished job 51.\u001b[0m\n",
            "\u001b[32m135 of 158 steps (85%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.default.statistic.tsv.gz.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:17:59 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.default.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.RNA.default.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 144\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, type=RNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:01 2024]\u001b[0m\n",
            "\u001b[32mFinished job 146.\u001b[0m\n",
            "\u001b[32m136 of 158 steps (86%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_combine_assigned_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.tutorialConfig.MPRAworkshop.tsv\n",
            "    log: results/logs/statistic/bc_overlap/combine_assigned_counts.experimentMPRAworkshop.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 145\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.tutorialConfig.MPRAworkshop.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, config=tutorialConfig, assignment=MPRAworkshop\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:02 2024]\u001b[0m\n",
            "\u001b[32mFinished job 145.\u001b[0m\n",
            "\u001b[32m137 of 158 steps (87%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts_hist:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.tutorialConfig.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_RNA_perBarcode.png\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts_hist.experimentMPRAworkshop.HepG2.tutorialConfig.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 82\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_DNA_perBarcode.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:07 2024]\u001b[0m\n",
            "\u001b[32mFinished job 86.\u001b[0m\n",
            "\u001b[32m138 of 158 steps (87%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:07 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.tutorialConfig.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_correlation.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts.experimentMPRAworkshop.HepG2.tutorialConfig.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 141\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_correlation.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:09 2024]\u001b[0m\n",
            "\u001b[32mFinished job 144.\u001b[0m\n",
            "\u001b[32m139 of 158 steps (88%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:09 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_combine_assigned_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.default.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.default.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.default.MPRAworkshop.tsv\n",
            "    log: results/logs/statistic/bc_overlap/combine_assigned_counts.experimentMPRAworkshop.default.MPRAworkshop.log\n",
            "    jobid: 142\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.default.MPRAworkshop.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.default.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.default.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, config=default, assignment=MPRAworkshop\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:10 2024]\u001b[0m\n",
            "\u001b[32mFinished job 142.\u001b[0m\n",
            "\u001b[32m140 of 158 steps (89%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.default.tsv.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.default.tsv.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:13 2024]\u001b[0m\n",
            "\u001b[32mFinished job 59.\u001b[0m\n",
            "\u001b[32m141 of 158 steps (89%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:19 2024]\u001b[0m\n",
            "\u001b[32mFinished job 82.\u001b[0m\n",
            "\u001b[32m142 of 158 steps (90%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:25 2024]\u001b[0m\n",
            "\u001b[32mFinished job 63.\u001b[0m\n",
            "\u001b[32m143 of 158 steps (91%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:43 2024]\u001b[0m\n",
            "\u001b[32mFinished job 17.\u001b[0m\n",
            "\u001b[32m144 of 158 steps (91%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 2 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:44 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_combine_oligo:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation_minThreshold.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_default.tsv\n",
            "    log: results/logs/statistic/correlation/combine_oligo.experimentMPRAworkshop.default.MPRAworkshop.log\n",
            "    jobid: 156\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:44 2024]\u001b[0m\n",
            "\u001b[32mlocalrule qc_report_count:\n",
            "    input: /data/MPRAsnakeflow/workflow/rules/../scripts/report/qc_report_count.qmd (cached), results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna_minThreshold.png\n",
            "    output: results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html, results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.qmd\n",
            "    log: results/logs/qc_report/count.experimentMPRAworkshop.HepG2.MPRAworkshop.default.log\n",
            "    jobid: 16\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise_minThreshold.png\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, assignment=MPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/5e2aae8e57563b133d3b468a46fc84fb_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:44 2024]\u001b[0m\n",
            "\u001b[32mFinished job 156.\u001b[0m\n",
            "\u001b[32m145 of 158 steps (92%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:57 2024]\u001b[0m\n",
            "\u001b[32mFinished job 139.\u001b[0m\n",
            "\u001b[32m146 of 158 steps (92%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:57 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_combine_bc_assigned:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_correlation.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_default.tsv\n",
            "    log: results/logs/statistic/correlation/combine_bc_assigned.experimentMPRAworkshop.MPRAworkshop_default.log\n",
            "    jobid: 138\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_correlation.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:58 2024]\u001b[0m\n",
            "\u001b[32mFinished job 138.\u001b[0m\n",
            "\u001b[32m147 of 158 steps (93%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:59 2024]\u001b[0m\n",
            "\u001b[32mFinished job 65.\u001b[0m\n",
            "\u001b[32m148 of 158 steps (94%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 2 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:59 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_combine_oligo:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation_minThreshold.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_tutorialConfig.tsv\n",
            "    log: results/logs/statistic/correlation/combine_oligo.experimentMPRAworkshop.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 157\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation_minThreshold.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:18:59 2024]\u001b[0m\n",
            "\u001b[32mlocalrule qc_report_count:\n",
            "    input: /data/MPRAsnakeflow/workflow/rules/../scripts/report/qc_report_count.qmd (cached), results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna_minThreshold.png\n",
            "    output: results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html, results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.qmd\n",
            "    log: results/logs/qc_report/count.experimentMPRAworkshop.HepG2.MPRAworkshop.tutorialConfig.log\n",
            "    jobid: 64\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box_minThreshold.png\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, assignment=MPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/5e2aae8e57563b133d3b468a46fc84fb_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:00 2024]\u001b[0m\n",
            "\u001b[32mFinished job 157.\u001b[0m\n",
            "\u001b[32m149 of 158 steps (94%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:01 2024]\u001b[0m\n",
            "\u001b[32mFinished job 141.\u001b[0m\n",
            "\u001b[32m150 of 158 steps (95%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:01 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_combine_bc_assigned:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_tutorialConfig.tsv\n",
            "    log: results/logs/statistic/correlation/combine_bc_assigned.experimentMPRAworkshop.MPRAworkshop_tutorialConfig.log\n",
            "    jobid: 140\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:02 2024]\u001b[0m\n",
            "\u001b[32mFinished job 140.\u001b[0m\n",
            "\u001b[32m151 of 158 steps (96%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:13 2024]\u001b[0m\n",
            "\u001b[32mFinished job 16.\u001b[0m\n",
            "\u001b[32m152 of 158 steps (96%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.qmd.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:24 2024]\u001b[0m\n",
            "\u001b[32mFinished job 64.\u001b[0m\n",
            "\u001b[32m153 of 158 steps (97%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.qmd.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:34 2024]\u001b[0m\n",
            "\u001b[32mFinished job 127.\u001b[0m\n",
            "\u001b[32m154 of 158 steps (97%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:34 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_combine_bc_raw:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_correlation.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_default.tsv\n",
            "    log: results/logs/statistic/correlation/combine_bc_raw.experimentMPRAworkshop.default.log\n",
            "    jobid: 126\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_correlation.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:34 2024]\u001b[0m\n",
            "\u001b[32mFinished job 126.\u001b[0m\n",
            "\u001b[32m155 of 158 steps (98%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:40 2024]\u001b[0m\n",
            "\u001b[32mFinished job 129.\u001b[0m\n",
            "\u001b[32m156 of 158 steps (99%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:40 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_combine_bc_raw:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_tutorialConfig.tsv\n",
            "    log: results/logs/statistic/correlation/combine_bc_raw.experimentMPRAworkshop.tutorialConfig.log\n",
            "    jobid: 128\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:40 2024]\u001b[0m\n",
            "\u001b[32mFinished job 128.\u001b[0m\n",
            "\u001b[32m157 of 158 steps (99%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:40 2024]\u001b[0m\n",
            "\u001b[32mlocalrule all:\n",
            "    input: results/assignment/assignMPRAworkshop/qc_report.default.html, results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html, results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html, results/assignment/assignMPRAworkshop/assignment_barcodes.default.tsv.gz, results/assignment/assignMPRAworkshop/statistic/assigned_counts.default.tsv, results/assignment/assignMPRAworkshop/statistic/assignment.default.png, results/assignment/assignMPRAworkshop/statistic/total_counts.tsv, results/assignment/assignMPRAworkshop/statistic/assignment/bam_stats.txt, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_RNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_RNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_RNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts.raw.tsv, results/experiments/experimentMPRAworkshop/statistic/counts.filtered.tsv, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_RNA.txt, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_DNA.txt, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_RNA.txt, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_DNA.txt, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_RNA.txt, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_DNA.txt, results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.default.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.default.MPRAworkshop.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.tutorialConfig.MPRAworkshop.tsv, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv\n",
            "    jobid: 0\n",
            "    reason: Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_DNA.txt, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_default.tsv, results/assignment/assignMPRAworkshop/statistic/assigned_counts.default.tsv, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_RNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.default.tsv, results/experiments/experimentMPRAworkshop/statistic/counts.raw.tsv, results/assignment/assignMPRAworkshop/assignment_barcodes.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_RNA.txt, results/assignment/assignMPRAworkshop/statistic/assignment/bam_stats.txt, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_DNA.txt, results/experiments/experimentMPRAworkshop/statistic/counts.filtered.tsv, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.combined.tsv.gz, results/assignment/assignMPRAworkshop/statistic/assignment.default.png, results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_RNA.txt, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_RNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_DNA.txt, results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html, results/assignment/assignMPRAworkshop/qc_report.default.html, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_RNA.txt, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_DNA_perBarcode.png, results/assignment/assignMPRAworkshop/statistic/total_counts.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.tutorialConfig.MPRAworkshop.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.default.MPRAworkshop.tsv, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_RNA.tsv.gz\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:19:40 2024]\u001b[0m\n",
            "\u001b[32mFinished job 0.\u001b[0m\n",
            "\u001b[32m158 of 158 steps (100%) done\u001b[0m\n",
            "\u001b[33mComplete log: .snakemake/log/2024-09-18T140212.856685.snakemake.log\u001b[0m\n"
          ]
        }
      ],
      "source": [
        "runContainer(\"snakemake --configfile config_combined.yaml -c 10\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Results\n",
        "\n",
        "First we go through the assignment and afterwards through the experiment resukts.\n",
        "\n",
        "### Assignment results\n",
        "\n",
        "Let's take a look at the files in the assignment results folder!"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "MPRAsnakeflow_tutorial/results/assignment:\n",
            "assignMPRAworkshop\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/assignment/assignMPRAworkshop:\n",
            "aligned_merged_reads.bam\t\t\t  design_check.done\n",
            "aligned_merged_reads.bam.bai\t\t\t  design_check.err\n",
            "assignment_barcodes.default.tsv.gz\t\t  qc_report.default.html\n",
            "assignment_barcodes_with_ambigous.default.tsv.gz  reference\n",
            "barcodes_incl_other.tsv.gz\t\t\t  statistic\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/assignment/assignMPRAworkshop/reference:\n",
            "reference.fa\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/assignment/assignMPRAworkshop/statistic:\n",
            "assigned_counts.default.tsv  assignment.default.png\ttotal_counts.tsv\n",
            "assignment\t\t     assignment.default.tsv.gz\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/assignment/assignMPRAworkshop/statistic/assignment:\n",
            "bam_stats.txt\n"
          ]
        }
      ],
      "source": [
        "results_dir = \"MPRAsnakeflow_tutorial/results/assignment\"\n",
        "!ls -R \"{results_dir}\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The statistic folder contains run statistics for the assignment step, such as the total number of associated barcounts, the number of oligos with at least 15 barcodes, and more. We will now just take a look at the generated count histogram of barcodes per oligo."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(np.float64(-0.5), np.float64(2099.5), np.float64(2099.5), np.float64(-0.5))"
            ]
          },
          "execution_count": 39,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "img = plt.imread(os.path.join(results_dir, \"assignMPRAworkshop/statistic/assignment.default.png\"))\n",
        "plt.imshow(img)\n",
        "plt.axis(\"off\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The median number of barcodes is 24. We usually require each tested sequence to have at least 10 barcodes associated.\n",
        "\n",
        "We will now take a look at the actual output file of the assignment run. Which is a sorted table of `barcodes`, their assigned `sequence IDs`, information about the `quality` of the alignment (fwd/rev reads to designed oligos) and how often this barcode was assigned to this sequence compared to the total number this barcode was observed in the experiment. The information in the quality field is derived from the SAM/BAM output (https://samtools.github.io/hts-specs/SAMv1.pdf) and represents a concatenation of the SAM position, cigar, NM, AM and mapQ."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "AAAAAAAAAGAAGGG\toligo_006589\t16;200=;NM:i:0;AM:i:45;45\t5/5\n",
            "AAAAAAAAATCGATC\toligo_006917\t16;161=1X38=;NM:i:1;AM:i:44;44\t3/3\n",
            "AAAAAAAAATGATCT\toligo_211468\t16;190=1X9=;NM:i:1;AM:i:44;44\t4/4\n",
            "AAAAAAAACACATGA\toligo_005412\t16;200=;NM:i:0;AM:i:45;45\t3/3\n",
            "AAAAAAAACAGTAAG\toligo_006290\t16;200=;NM:i:0;AM:i:45;45\t3/3\n",
            "AAAAAAAACATAGTT\toligo_006471\t16;200=;NM:i:0;AM:i:45;45\t3/3\n",
            "AAAAAAAACCAAATA\toligo_189277\t16;200=;NM:i:0;AM:i:45;45\t3/3\n",
            "AAAAAAAACGAACAG\toligo_005299\t16;200=;NM:i:0;AM:i:45;45\t3/3\n",
            "AAAAAAAACTATGTT\toligo_005948\t16;200=;NM:i:0;AM:i:45;45\t3/3\n",
            "AAAAAAAAGAAAAAG\toligo_144933\t17;199=;NM:i:0;AM:i:45;45\t3/3\n"
          ]
        }
      ],
      "source": [
        "assignment = os.path.join(results_dir, \"assignMPRAworkshop/assignment_barcodes.default.tsv.gz\")\n",
        "!zcat \"{assignment}\" | awk 'NR <= 10 {{print $$0}}'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We would like to know how many different oligos have been included in the final assignment.\\\n",
        "When we compare this number to the number of sequences in our design, we can get a feeling of how many sequences were able to get assigned with their barcodes. This has implications for the proportion of targets that we can eventually analyse and whether each target is supported with sufficiently many barcodes. This information is important for the experiment overall and analyzing the counts of each individual replicate."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Number of sequences we were able to assign: 2060\n",
            "Number of sequences in the initial design: 2104\n",
            "Conclusion: 97.9% sequences of our initial design can be used in the experimental/counting step\n"
          ]
        }
      ],
      "source": [
        "assigned_sequences = !zcat \"{assignment}\" | awk -F'\\t' '{{names[$$2]++}} END {{print length(names)}}'\n",
        "\n",
        "assigned_sequences = int(assigned_sequences[0])\n",
        "print(\"Number of sequences we were able to assign: %s\"%(assigned_sequences))\n",
        "\n",
        "designed_sequences = !cat \"MPRAsnakeflow_tutorial/example_data/design/workshop_design.fa\" | grep -v \">\" | wc -l\n",
        "designed_sequences = int(designed_sequences[0])\n",
        "print(\"Number of sequences in the initial design: %s\"%(designed_sequences))\n",
        "\n",
        "print(r\"Conclusion: %s%% sequences of our initial design can be used in the experimental/counting step\"%(round(assigned_sequences/designed_sequences * 100, 1)))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Experiment results\n",
        "\n",
        "Let's take a look at the files in the experiment results folder!"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "MPRAsnakeflow_tutorial/results/experiments:\n",
            "experimentMPRAworkshop\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop:\n",
            "assigned_counts  qc_report.HepG2.MPRAworkshop.default.html\n",
            "assignment\t qc_report.HepG2.MPRAworkshop.tutorialConfig.html\n",
            "counts\t\t statistic\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/assigned_counts:\n",
            "MPRAworkshop\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop:\n",
            "HepG2_1.merged.config.default.tsv.gz\n",
            "HepG2_1.merged.config.tutorialConfig.tsv.gz\n",
            "HepG2_1_DNA_final_counts.config.default.tsv.gz\n",
            "HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "HepG2_1_RNA_final_counts.config.default.tsv.gz\n",
            "HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "HepG2_2.merged.config.default.tsv.gz\n",
            "HepG2_2.merged.config.tutorialConfig.tsv.gz\n",
            "HepG2_2_DNA_final_counts.config.default.tsv.gz\n",
            "HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "HepG2_2_RNA_final_counts.config.default.tsv.gz\n",
            "HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "HepG2_3.merged.config.default.tsv.gz\n",
            "HepG2_3.merged.config.tutorialConfig.tsv.gz\n",
            "HepG2_3_DNA_final_counts.config.default.tsv.gz\n",
            "HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "HepG2_3_RNA_final_counts.config.default.tsv.gz\n",
            "HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "default\n",
            "tutorialConfig\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default:\n",
            "HepG2_1_barcode_assigned_counts.tsv.gz\n",
            "HepG2_1_merged_assigned_counts.tsv.gz\n",
            "HepG2_2_barcode_assigned_counts.tsv.gz\n",
            "HepG2_2_merged_assigned_counts.tsv.gz\n",
            "HepG2_3_barcode_assigned_counts.tsv.gz\n",
            "HepG2_3_merged_assigned_counts.tsv.gz\n",
            "HepG2_allreps_merged.combined.tsv.gz\n",
            "HepG2_allreps_merged.tsv.gz\n",
            "HepG2_allreps_merged_barcode_assigned_counts.tsv.gz\n",
            "HepG2_allreps_minThreshold_merged.combined.tsv.gz\n",
            "HepG2_allreps_minThreshold_merged.tsv.gz\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig:\n",
            "HepG2_1_barcode_assigned_counts.tsv.gz\n",
            "HepG2_1_merged_assigned_counts.tsv.gz\n",
            "HepG2_2_barcode_assigned_counts.tsv.gz\n",
            "HepG2_2_merged_assigned_counts.tsv.gz\n",
            "HepG2_3_barcode_assigned_counts.tsv.gz\n",
            "HepG2_3_merged_assigned_counts.tsv.gz\n",
            "HepG2_allreps_merged.combined.tsv.gz\n",
            "HepG2_allreps_merged.tsv.gz\n",
            "HepG2_allreps_merged_barcode_assigned_counts.tsv.gz\n",
            "HepG2_allreps_minThreshold_merged.combined.tsv.gz\n",
            "HepG2_allreps_minThreshold_merged.tsv.gz\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/assignment:\n",
            "MPRAworkshop.tsv.gz\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/counts:\n",
            "HepG2_1.merged.config.default.tsv.gz\n",
            "HepG2_1.merged.config.tutorialConfig.tsv.gz\n",
            "HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "HepG2_1_DNA_final_counts.tsv.gz\n",
            "HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "HepG2_1_RNA_final_counts.tsv.gz\n",
            "HepG2_2.merged.config.default.tsv.gz\n",
            "HepG2_2.merged.config.tutorialConfig.tsv.gz\n",
            "HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "HepG2_2_DNA_final_counts.tsv.gz\n",
            "HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "HepG2_2_RNA_final_counts.tsv.gz\n",
            "HepG2_3.merged.config.default.tsv.gz\n",
            "HepG2_3.merged.config.tutorialConfig.tsv.gz\n",
            "HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "HepG2_3_DNA_final_counts.tsv.gz\n",
            "HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "HepG2_3_RNA_final_counts.tsv.gz\n",
            "useUMI.HepG2_1_DNA.bam\n",
            "useUMI.HepG2_1_DNA_raw_counts.tsv.gz\n",
            "useUMI.HepG2_1_RNA.bam\n",
            "useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "useUMI.HepG2_2_DNA.bam\n",
            "useUMI.HepG2_2_DNA_raw_counts.tsv.gz\n",
            "useUMI.HepG2_2_RNA.bam\n",
            "useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "useUMI.HepG2_3_DNA.bam\n",
            "useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "useUMI.HepG2_3_RNA.bam\n",
            "useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic:\n",
            "assigned_counts\n",
            "barcode\n",
            "bc_overlap.assigned_counts.default.MPRAworkshop.tsv\n",
            "bc_overlap.assigned_counts.tutorialConfig.MPRAworkshop.tsv\n",
            "bc_overlap.counts.default.tsv\n",
            "bc_overlap.counts.tutorialConfig.tsv\n",
            "counts\n",
            "counts.filtered.tsv\n",
            "counts.freqUMIs.HepG2_1_DNA.txt\n",
            "counts.freqUMIs.HepG2_1_RNA.txt\n",
            "counts.freqUMIs.HepG2_2_DNA.txt\n",
            "counts.freqUMIs.HepG2_2_RNA.txt\n",
            "counts.freqUMIs.HepG2_3_DNA.txt\n",
            "counts.freqUMIs.HepG2_3_RNA.txt\n",
            "counts.raw.tsv\n",
            "statistic_assigned_bc_correlation_merged_MPRAworkshop_default.tsv\n",
            "statistic_assigned_bc_correlation_merged_MPRAworkshop_tutorialConfig.tsv\n",
            "statistic_assigned_counts_merged_MPRAworkshop_default.tsv\n",
            "statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv\n",
            "statistic_assigned_counts_single_MPRAworkshop_default.tsv\n",
            "statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv\n",
            "statistic_bc_correlation_merged_default.tsv\n",
            "statistic_bc_correlation_merged_tutorialConfig.tsv\n",
            "statistic_oligo_correlation_merged_MPRAworkshop_default.tsv\n",
            "statistic_oligo_correlation_merged_MPRAworkshop_tutorialConfig.tsv\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/assigned_counts:\n",
            "MPRAworkshop\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop:\n",
            "HepG2_1_DNA_default.statistic.tsv.gz\n",
            "HepG2_1_DNA_tutorialConfig.statistic.tsv.gz\n",
            "HepG2_1_RNA_default.statistic.tsv.gz\n",
            "HepG2_1_RNA_tutorialConfig.statistic.tsv.gz\n",
            "HepG2_2_DNA_default.statistic.tsv.gz\n",
            "HepG2_2_DNA_tutorialConfig.statistic.tsv.gz\n",
            "HepG2_2_RNA_default.statistic.tsv.gz\n",
            "HepG2_2_RNA_tutorialConfig.statistic.tsv.gz\n",
            "HepG2_3_DNA_default.statistic.tsv.gz\n",
            "HepG2_3_DNA_tutorialConfig.statistic.tsv.gz\n",
            "HepG2_3_RNA_default.statistic.tsv.gz\n",
            "HepG2_3_RNA_tutorialConfig.statistic.tsv.gz\n",
            "default\n",
            "tutorialConfig\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default:\n",
            "HepG2_1_merged_assigned_counts.statistic.tsv.gz\n",
            "HepG2_2_merged_assigned_counts.statistic.tsv.gz\n",
            "HepG2_3_merged_assigned_counts.statistic.tsv.gz\n",
            "HepG2_DNA_pairwise.png\n",
            "HepG2_DNA_pairwise_minThreshold.png\n",
            "HepG2_RNA_pairwise.png\n",
            "HepG2_RNA_pairwise_minThreshold.png\n",
            "HepG2_Ratio_pairwise.png\n",
            "HepG2_Ratio_pairwise_minThreshold.png\n",
            "HepG2_average_allreps_merged.tsv.gz\n",
            "HepG2_barcodesPerInsert.png\n",
            "HepG2_correlation.tsv\n",
            "HepG2_correlation_minThreshold.tsv\n",
            "HepG2_dna_vs_rna.png\n",
            "HepG2_dna_vs_rna_minThreshold.png\n",
            "HepG2_group_barcodesPerInsert_box.png\n",
            "HepG2_group_barcodesPerInsert_box_minThreshold.png\n",
            "combined\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/combined:\n",
            "HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig:\n",
            "HepG2_1_merged_assigned_counts.statistic.tsv.gz\n",
            "HepG2_2_merged_assigned_counts.statistic.tsv.gz\n",
            "HepG2_3_merged_assigned_counts.statistic.tsv.gz\n",
            "HepG2_DNA_pairwise.png\n",
            "HepG2_DNA_pairwise_minThreshold.png\n",
            "HepG2_RNA_pairwise.png\n",
            "HepG2_RNA_pairwise_minThreshold.png\n",
            "HepG2_Ratio_pairwise.png\n",
            "HepG2_Ratio_pairwise_minThreshold.png\n",
            "HepG2_average_allreps_merged.tsv.gz\n",
            "HepG2_barcodesPerInsert.png\n",
            "HepG2_correlation.tsv\n",
            "HepG2_correlation_minThreshold.tsv\n",
            "HepG2_dna_vs_rna.png\n",
            "HepG2_dna_vs_rna_minThreshold.png\n",
            "HepG2_group_barcodesPerInsert_box.png\n",
            "HepG2_group_barcodesPerInsert_box_minThreshold.png\n",
            "combined\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/combined:\n",
            "HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/barcode:\n",
            "assigned_counts  counts\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts:\n",
            "MPRAworkshop\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop:\n",
            "HepG2_default_DNA_perBarcode.png\n",
            "HepG2_default_RNA_perBarcode.png\n",
            "HepG2_default_barcode_DNA_pairwise.png\n",
            "HepG2_default_barcode_RNA_pairwise.png\n",
            "HepG2_default_barcode_Ratio_pairwise.png\n",
            "HepG2_default_barcode_correlation.tsv\n",
            "HepG2_tutorialConfig_DNA_perBarcode.png\n",
            "HepG2_tutorialConfig_RNA_perBarcode.png\n",
            "HepG2_tutorialConfig_barcode_DNA_pairwise.png\n",
            "HepG2_tutorialConfig_barcode_RNA_pairwise.png\n",
            "HepG2_tutorialConfig_barcode_Ratio_pairwise.png\n",
            "HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/barcode/counts:\n",
            "HepG2_default_DNA_perBarcode.png\n",
            "HepG2_default_RNA_perBarcode.png\n",
            "HepG2_default_barcode_DNA_pairwise.png\n",
            "HepG2_default_barcode_RNA_pairwise.png\n",
            "HepG2_default_barcode_Ratio_pairwise.png\n",
            "HepG2_default_barcode_correlation.tsv\n",
            "HepG2_tutorialConfig_DNA_perBarcode.png\n",
            "HepG2_tutorialConfig_RNA_perBarcode.png\n",
            "HepG2_tutorialConfig_barcode_DNA_pairwise.png\n",
            "HepG2_tutorialConfig_barcode_RNA_pairwise.png\n",
            "HepG2_tutorialConfig_barcode_Ratio_pairwise.png\n",
            "HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/counts:\n",
            "BCNucleotideComposition.HepG2_1_DNA.tsv.gz\n",
            "BCNucleotideComposition.HepG2_1_RNA.tsv.gz\n",
            "BCNucleotideComposition.HepG2_2_DNA.tsv.gz\n",
            "BCNucleotideComposition.HepG2_2_RNA.tsv.gz\n",
            "BCNucleotideComposition.HepG2_3_DNA.tsv.gz\n",
            "BCNucleotideComposition.HepG2_3_RNA.tsv.gz\n"
          ]
        }
      ],
      "source": [
        "results_dir = \"MPRAsnakeflow_tutorial/results/experiments\"\n",
        "!ls -R \"{results_dir}\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We can take a look at the amount of barcodes that have been removed due to UMI collision, by checking how many unique BC x UMI combinations we have in our data. (We are now checking the RNA counts in replicate 1, but we should look at both DNA and RNA counts in all three replicates.)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "First few lines of a count file, where column 1 contains the barcode, 2 the UMI and 3 the count.\n",
            "AAAAAAAAAAAAAAA\tCGAAGTACACTTTCCG\t1\n",
            "AAAAAAAAAAAAAGG\tCGTGAGCAGGATTAAG\t1\n",
            "AAAAAAAAAACAAGT\tCTATCCGCACTGTGTC\t1\n",
            "AAAAAAAAAACCCAA\tTTCCTAGGGACAGTCC\t1\n",
            "AAAAAAAAAAGATGC\tGGAGCATGTAATGGGT\t1\n",
            "AAAAAAAAAAGCTGC\tAAGATATACGGACGAT\t1\n",
            "AAAAAAAAAAGCTGC\tAGAGGTTAGAAGGGCA\t1\n",
            "AAAAAAAAAAGCTGC\tATATGGACCGCCCTGG\t1\n",
            "AAAAAAAAAAGCTGC\tCATGCACCCTGCATAA\t1\n",
            "AAAAAAAAAAGCTGC\tCTGATTGTACCGCAGC\t1\n",
            "\n",
            "Amount of total BC x UMI combinations:\n",
            "871822\n",
            "\n",
            "Amount of duplicate BC x UMI combinations (the file is sorted):\n",
            "0\n"
          ]
        }
      ],
      "source": [
        "print(\"First few lines of a count file, where column 1 contains the barcode, 2 the UMI and 3 the count.\")\n",
        "!zcat \"{results_dir}\"/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz | awk 'NR <= 10 {{print}}'\n",
        "\n",
        "print(\"\\nAmount of total BC x UMI combinations:\")\n",
        "!zcat \"{results_dir}\"/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz | wc -l\n",
        "\n",
        "print(\"\\nAmount of duplicate BC x UMI combinations (the file is sorted):\")\n",
        "!zcat \"{results_dir}\"/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz | uniq -d | wc -l"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "There are no collisions, indicating that this subset of the data is of high quality. Great!"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The count files are then joined with the assignment file (the output of the assignment step) to assign counts to oligos. The barcode counts are then aggregated over the oligos. This is done within MPRAsnakeflow with additional filter steps, but to give you a feeling of what's happening we give you some simplified code below:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Joining the assignment and the counts of replicate 1:\n",
            "\n",
            "Barcode\toligo\tDNA\tRNA\n",
            "AAAAAAAAATCGATC\toligo_006917\t2\t3\n",
            "AAAAAAAACACATGA\toligo_005412\t10\t4\n",
            "AAAAAAAACAGTAAG\toligo_006290\t4\t3\n",
            "AAAAAAAACCAAATA\toligo_189277\t4\t2\n",
            "AAAAAAAACGAACAG\toligo_005299\t4\t1\n",
            "AAAAAAAAGAATTAC\toligo_144932\t4\t4\n",
            "AAAAAAAAGAGTAGT\toligo_006091\t7\t10\n",
            "AAAAAAACCGCACAT\toligo_005747\t1\t4\n",
            "AAAAAAAGACCTAAG\toligo_006429\t1\t4\n",
            "AAAAAAAGAGGTAAA\toligo_006350\t4\t6\n",
            "\n",
            "Aggregating the barcodes over oligos and the counts of replicate 1:\n",
            "\n",
            "oligo\tDNA\tRNA\n",
            "oligo_002500\t23\t41\n",
            "oligo_002501:oligo_002502\t11\t26\n",
            "oligo_002503\t14\t23\n",
            "oligo_002504\t1\t2\n",
            "oligo_002505\t23\t40\n",
            "oligo_002506\t7\t15\n",
            "oligo_002507\t11\t21\n",
            "oligo_002508\t11\t29\n",
            "oligo_002510\t15\t32\n",
            "oligo_002511\t24\t29\n"
          ]
        }
      ],
      "source": [
        "counts_rep1 = os.path.join(results_dir, \"experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz\")\n",
        "assignment = \"MPRAsnakeflow_tutorial/example_data/assignment/assignment_barcodes.default.tsv.gz\"\n",
        "\n",
        "print(\"Joining the assignment and the counts of replicate 1:\\n\\nBarcode\\toligo\\tDNA\\tRNA\")\n",
        "!join <(zcat {assignment}) <(zcat {counts_rep1}) -t $'\\t' | cut -f 1,2,5-6 | awk 'NR <= 10 {{print}}'\n",
        "\n",
        "print(\"\\nAggregating the barcodes over oligos and the counts of replicate 1:\\n\\noligo\\tDNA\\tRNA\")\n",
        "!join <(zcat {assignment}) <(zcat {counts_rep1}) -t $'\\t' | cut -f 1,2,5-6 | sort -k2,2 | \\\n",
        " awk -v OFS=\"\\t\" '{{if ($$2 == prev) {{dna += $$3; rna += $$4}} else {{ if (NR > 1) print prev,dna,rna; prev=$$2; dna=$$3;rna=$$4}}}}' | awk 'NR <= 10 {{print}}'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "In the next steps, barcodes are already aggregated to their oligos/targets.  \n",
        "  \n",
        "We will have a look at the correlation plots between the replicates for DNA and RNA now. Typically, we will sequence RNA counts deeper than DNA -- because of the larger dynamic range of RNA. We therefore expect that the correlation of RNA counts is higher than that of the DNA. Our example data shows this trend as well.\n",
        "\n",
        "We have a correlation of DNA counts per insert between the replicates of 0.29 and 0.30. This correlation is for a subset of the complete MPRA experiment. The shown output uses the user set minThreshold for removing barcodes with too few counts. In order to see the influence of the parameter another plot is generated without this threshold."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "With the threshold of 5 barcodes per oligo and at least one DNA and RNA count\n",
        "- DNA correlation: 0.29 - 0.30\n",
        "- RNA correlation: 0.68 - 0.70"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "dna_pairwise = cv2.imread(f'{results_dir}/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise_minThreshold.png')\n",
        "\n",
        "dna_pairwise_resize = cv2.resize(dna_pairwise, (600, 1000))\n",
        "\n",
        "plt.imshow(dna_pairwise_resize)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "rna_pairwise = cv2.imread(f'{results_dir}/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise_minThreshold.png')\n",
        "\n",
        "rna_pairwise_resize = cv2.resize(rna_pairwise, (600, 1000))\n",
        "\n",
        "plt.imshow(rna_pairwise_resize)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "In the following two figures you can see that this trend is continues for a threshold of 10 barcodes per insert.\n",
        "- DNA correlation: 0.32 - 0.39\n",
        "- RNA correlation: 0.79 - 0.80"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "dna_pairwise_no_thresh = cv2.imread(f'{results_dir}/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise_minThreshold.png')\n",
        "\n",
        "dna_pairwise_no_thresh_resize = cv2.resize(dna_pairwise_no_thresh, (600, 1000))\n",
        "\n",
        "plt.imshow(dna_pairwise_no_thresh_resize)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "rna_pairwise_no_thresh = cv2.imread(f'{results_dir}/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise_minThreshold.png')\n",
        "\n",
        "rna_pairwise_no_thresh_resize = cv2.resize(rna_pairwise_no_thresh, (600, 1000))\n",
        "\n",
        "plt.imshow(rna_pairwise_no_thresh_resize)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Even though it is a small example, the minimal barcode count threshold shows a clear effect on correlation. However, we also note that we are losing a proprotion of oligos with these strict filters and thereby limit the conclusions that we can draw from the data."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now we want go through the final output of MPRAsnakeflow: the count table of sequences and barcodes together with their aggregated log2 values. Note that there are no statistics calculated at this step yet, the table doesn't say anything about certainty/variance of the activity. The log2 value refers to the log2 ratio of RNA counts over DNA counts for each oligo, which is a measurement of the activity of the target sequence. More on this in the statistical analysis tutorial."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "condition\treplicate\tname\tdna_counts\trna_counts\tdna_normalized\trna_normalized\tratio\tlog2\tn_obs_bc\n",
            "HepG2\t1\tno_BC\t150588\t394586\t9.92016075598502\t9.72613704702904\t1.26892422325652\t0.34360592\t71597\n",
            "HepG2\t1\toligo_002500\t23\t41\t13.5600415055183\t9.04455923436262\t0.863257582487873\t-0.21213699\t8\n",
            "HepG2\t1\toligo_002501:oligo_002502\t15\t28\t8.84350532968588\t6.17677216005252\t0.903964037597058\t-0.14566272\t8\n",
            "HepG2\t1\toligo_002503\t19\t31\t8.96141873408169\t5.4708553417608\t0.790118942636526\t-0.33985825\t10\n",
            "HepG2\t1\toligo_002504\t1\t2\t4.71653617583247\t3.52958409145858\t0.968532897425419\t-0.04612704\t1\n",
            "HepG2\t1\toligo_002505\t23\t40\t13.5600415055183\t8.82396022864646\t0.842202519500364\t-0.2477609\t8\n",
            "HepG2\t1\toligo_002506\t22\t64\t14.8233994097592\t16.1352415609535\t1.40877512352788\t0.49444134\t7\n",
            "HepG2\t1\toligo_002507\t39\t36\t26.2778444082095\t9.07607337803636\t0.447015183427116\t-1.16160426\t7\n",
            "HepG2\t1\toligo_002508\t12\t30\t9.43307235166494\t8.82396022864646\t1.21066612178177\t0.27580105\t6\n"
          ]
        }
      ],
      "source": [
        " !zcat {results_dir}/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz | awk 'NR <= 10 {{print}}'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### QC report\n",
        "\n",
        "We have a QC report for the assigment as well for the experiment workflow. The QC report gives a nice overview of the assignment run and might be the first thing you will look on. \n",
        "\n",
        "For our assignment run you can find it here:\n",
        "\n",
        "[MPRAsnakeflow_tutorial/results/assignment/assignMPRAworkshop/qc_report.default.html](MPRAsnakeflow_tutorial/results/assignment/assignMPRAworkshop/qc_report.default.html)\n",
        "\n",
        "\n",
        "For our experiment run you can find it here:\n",
        "\n",
        "- [MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html](MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html) - 10 BC threshold\n",
        "\n",
        "- [MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html](MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html) - 5 BC threshold"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "        <iframe\n",
              "            width=\"700\"\n",
              "            height=\"600\"\n",
              "            src=\"./MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html\"\n",
              "            frameborder=\"0\"\n",
              "            allowfullscreen\n",
              "            \n",
              "        ></iframe>\n",
              "        "
            ],
            "text/plain": [
              "<IPython.lib.display.IFrame at 0x7f453de33aa0>"
            ]
          },
          "execution_count": 50,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from IPython.display import IFrame\n",
        "\n",
        "IFrame(src='./MPRAsnakeflow_tutorial/results/assignment/assignMPRAworkshop/qc_report.default.html', width=700, height=600)\n",
        "\n",
        "IFrame(src='./MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html', width=700, height=600)\n",
        "\n",
        "IFrame(src='./MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html', width=700, height=600)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [
        "32PHp-vU99x0",
        "6GilAsqZ4t9r"
      ],
      "include_colab_link": true,
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
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      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.12.4"
    }
  },
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