README

This directory contains Jupyter notebooks used to create figures presented in the manuscript titled "Automated chromatin profiling with spa-ChIP-seq uncovers the impacts of condition variations". 

All notebooks were developed and tested in Python 3. Required packages included numpy, pandas, matplotlib, seaborn, scipy, sklearn (additional dependencies are listed at the beginning of each notebook).

Data generated in this study are available on NCBI Gene Expression Omnibus (GEO) under accession number GSE304259.