CCLE_analysis

Here I worked with dataset from Cancer cell line encyclopedia. I subsetted the z-score matrix according to different genes related to AhR and then performed the trajectory analysis with dynverse package. The overall analysis is memory-consuming, that's why I made it using server. So in this analysis this "preparation for server" step was the most important for me. I wrote the script in R-studio, then I attached to cluster with Putty, created a repository for a project in my home directory and transfered script and input files from local machine to server via FileZilla. I should also created in my home directory a folder for R packages
mkdir R_packages
And then in R script I specified that I want install the packages library in this directory
options(repos = "https://cran.rstudio.com/") install.packages('devtools', lib = '/home/o515a/R_packages') library(devtools) devtools::install_github('dynverse/dyno', lib = '/home/o515a/R_packages')\