NEASE (Network Enrichment method for Alternative Splicing Events) a tool for functional enrichment of alternative splicing exons/events.
The python package NEASE (Network-based Enrichment method for Alternative Splicing Events) first detects protein domains affected by AS and uses an integrated protein-protein and domain-domain interaction network to identify protein interaction partners likely affected by AS.
Next, NEASE performs gene set overrepresentation analysis and identifies enriched pathways based on affected edges. Furthermore, since the statistical approach is network-based, it also prioritizes (differentially) spliced genes and finds new disease biomarkers candidates in case of aberrant splicing.
To install the package from PyPI please run:
pip install nease
To install the package from git:
git clone https://github.com/louadi/NEASE.git && cd NEASE
pip install .
Enjoy your instance of NEASE
A step-by-step guide to use NEASE is available here.
Zakaria Louadi: louadi@wzw.tum.de