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Adding tutorial on trajectory analysis #4367

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Original file line number Diff line number Diff line change
@@ -0,0 +1,20 @@
---
destination:
type: library
name: GTN - Material
description: Galaxy Training Network Material
synopsis: Galaxy Training Network Material. See https://training.galaxyproject.org
items:
- name: Single Cell
description: Training material and practicals for all kinds of single cell analysis
(particularly scRNA-seq!). When you generate your lovely gene lists for your cells,
consider checking out our Transcriptomics tutorials for further network analysis!
items:
- name: Inferring Trajectories using Scanpy
items:
- name: 'DOI: 10.5281/zenodo.7075718'
description: latest
items:
- url: https://zenodo.org/api/files/4d8b712c-a2d3-4d91-9235-83a913f87936/Final_cell_annotated_object.h5ad
src: url
ext: h5ad
Original file line number Diff line number Diff line change
@@ -0,0 +1,90 @@
@article {Moreno2020.04.08.032698,
author = {Moreno, P. and Huang, N. and Manning, J.R. and Mohammed, S. and Solovyev, A. and Polanski, K. and Chazarra, R. and Talavera-Lopez, C. and Doyle, M. and Marnier, G. and Gr{\"u}ning, B. and Rasche, H. and Bacon, W. and Perez-Riverol, Y. and Haeussler, M. and Meyer, K.B. and Teichmann, S. and Papatheodorou, I.},
title = {User-friendly, scalable tools and workflows for single-cell analysis},
elocation-id = {2020.04.08.032698},
year = {2020},
doi = {10.1101/2020.04.08.032698},
publisher = {Cold Spring Harbor Laboratory},
abstract = {Single-cell RNA-Seq (scRNA-Seq) data analysis requires expertise in command-line tools, programming languages and scaling on compute infrastructure. As scRNA-Seq becomes widespread, computational pipelines need to be more accessible, simpler and scalable. We introduce an interactive analysis environment for scRNA-Seq, based on Galaxy, with ~70 functions from major single-cell analysis tools, which can be run on compute clusters, cloud providers or single machines, to bring compute to the data in scRNA-Seq.Competing Interest StatementThe authors have declared no competing interest.},
URL = {https://www.biorxiv.org/content/early/2020/04/09/2020.04.08.032698},
eprint = {https://www.biorxiv.org/content/early/2020/04/09/2020.04.08.032698.full.pdf},
journal = {bioRxiv}
}

@article{Bacon2018,
doi = {10.3389/fimmu.2018.02523},
url = {https://doi.org/10.3389/fimmu.2018.02523},
year = {2018},
month = nov,
publisher = {Frontiers Media {SA}},
volume = {9},
author = {Wendi A. Bacon and Russell S. Hamilton and Ziyi Yu and Jens Kieckbusch and Delia Hawkes and Ada M. Krzak and Chris Abell and Francesco Colucci and D. Stephen Charnock-Jones},
title = {Single-Cell Analysis Identifies Thymic Maturation Delay in Growth-Restricted Neonatal Mice},
journal = {Frontiers in Immunology}
}

@article{Satija2015,
doi = {10.1038/nbt.3192},
url = {https://doi.org/10.1038/nbt.3192},
year = {2015},
month = apr,
publisher = {Springer Science and Business Media {LLC}},
volume = {33},
number = {5},
pages = {495--502},
author = {Rahul Satija and Jeffrey A Farrell and David Gennert and Alexander F Schier and Aviv Regev},
title = {Spatial reconstruction of single-cell gene expression data},
journal = {Nature Biotechnology}
}

@article{Wolf2018,
doi = {10.1186/s13059-017-1382-0},
url = {https://doi.org/10.1186/s13059-017-1382-0},
year = {2018},
month = feb,
publisher = {Springer Science and Business Media {LLC}},
volume = {19},
number = {1},
author = {F. Alexander Wolf and Philipp Angerer and Fabian J. Theis},
title = {{SCANPY}: large-scale single-cell gene expression data analysis},
journal = {Genome Biology}
}

@article{Trapnell2014,
doi = {10.1038/nbt.2859},
url = {https://doi.org/10.1038/nbt.2859},
year = {2014},
month = mar,
publisher = {Springer Science and Business Media {LLC}},
volume = {32},
number = {4},
pages = {381--386},
author = {Cole Trapnell and Davide Cacchiarelli and Jonna Grimsby and Prapti Pokharel and Shuqiang Li and Michael Morse and Niall J Lennon and Kenneth J Livak and Tarjei S Mikkelsen and John L Rinn},
title = {The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells},
journal = {Nature Biotechnology}
}

@article{McCarthy2017,
doi = {10.1093/bioinformatics/btw777},
url = {https://doi.org/10.1093/bioinformatics/btw777},
year = {2017},
month = jan,
publisher = {Oxford University Press ({OUP})},
pages = {btw777},
author = {Davis J. McCarthy and Kieran R. Campbell and Aaron T. L. Lun and Quin F. Wills},
title = {Scater: pre-processing, quality control, normalization and visualization of single-cell {RNA}-seq data in R},
journal = {Bioinformatics}
}

@article{Cakir2020,
doi = {10.1093/nargab/lqaa052},
url = {https://doi.org/10.1093/nargab/lqaa052},
year = {2020},
month = jul,
publisher = {Oxford University Press ({OUP})},
volume = {2},
number = {3},
author = {Batuhan Cakir and Martin Prete and Ni Huang and Stijn van~Dongen and Pinar Pir and Vladimir~Yu Kiselev},
title = {Comparison of visualization tools for single-cell {RNAseq} data},
journal = {{NAR} Genomics and Bioinformatics}
}
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