This project aims to create p-values for the abundance of each GO Categories in each chromosome queried by doing a T-Test of number of hits in a particular chromosome vs those that are NOT on the chromosome. This helps us identify if there is a significant correlation between a particular GO Category and a chromosome.

Usage is fairly simple, as the program is designed to be a python library. To run, all you need to do is install the library with pip install . in the main directory in the project. This will install dependencies as well. Then, you can run go_enrichment {output file} {number of hits}. Be sure to replace the output file and number of hits parameters with your desired values.

This project was created at the Wren Lab at Oklahoma Medical Research Foundation by Siven Panda.