Candace and Daniel pair code commit

vignettes/getting-started.Rmd

@@ -16,17 +16,15 @@ knitr::opts_chunk$set(
 
 # gimap tutorial
 
-TODO: Describe what this genetic interaction analysis actually is and why someone would want to do it. 
 gimap performs analysis of dual-targeting CRISPR screening data, with the goal of aiding the identification of genetic interactions (e.g. cooperativity, synthetic lethality) in models of disease and other biological contexts. gimap analyzes functional genomic data generated by the pgPEN (paired guide RNAs for genetic interaction mapping) approach, quantifying growth effects of single and paired gene knockouts upon application of a CRISPR library.
+
 ```{r}
 library(magrittr)
 library(gimap)
 ```
 
 ## Data requirements 
 
-TODO: What kind of data would someone need to run this? How much flexibility is there in what the experimental set up might look like? 
-
 Let's examine this example pgPEN counts table. It's divided into columns containing: 
 
 - an ID corresponding to the names of paired guides
@@ -36,9 +34,9 @@ Let's examine this example pgPEN counts table. It's divided into columns contain
 
 ```{r}
 example_data <- gimap::example_data()
+```
 The metadata you have may vary slightly from this but you'll want to make sure you have the essential variables and information regarding how you collected your data. 
 example_data
-```
 
 ```{r}
 colnames(example_data)