Skip to content

Latest commit

 

History

History
14 lines (10 loc) · 686 Bytes

README.md

File metadata and controls

14 lines (10 loc) · 686 Bytes

ICAT 2022 Manuscript

Repository for generating results in the manuscript "ICAT: A Novel Algorithm to Robustly Identify Cell States Following Perturbations in Single Cell Transcriptomes"

This analysis was run on a high performance cluster with a CentOS operating system.

It is not guaranteed to run on your system out-of-the-box.

To reproduce analysis, simply unzip the archived data files in the archived_data.tar.gz file, install the conda environment using either the environment.yaml or spec-file.txt files, activate the environemnt with the command, conda activate icat, and finally run the pipeline using snakemake (i.e. simply execute snakemake in the terminal)