Metadata-Version: 2.1
Name: genefeast
Version: 0.0.4
Summary: Gene-centric functional enrichment analysis summarisation tool
Project-URL: Homepage, https://avigailtaylor.github.io/GeneFEAST/
Project-URL: Source Code, https://github.com/avigailtaylor/GeneFEAST
Author-email: Avigail Taylor <avigail.taylor@well.ox.ac.uk>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.7
Requires-Dist: beautifulsoup4==4.8.0
Requires-Dist: goatools==1.0.14
Requires-Dist: matplotlib==3.3.3
Requires-Dist: networkx==2.5
Requires-Dist: numpy==1.17.2
Requires-Dist: pandas==0.25.1
Requires-Dist: pillow==6.2.0
Requires-Dist: scipy>=1.3.1
Requires-Dist: seaborn==0.11.2
Requires-Dist: upsetplot==0.4.1
Description-Content-Type: text/markdown

# GeneFEAST

GeneFEAST, implemented in Python, is a gene-centric functional enrichment analysis summarisation and visualisation tool that can be applied to large functional enrichment analysis (FEA) results arising from any upstream FEA pipeline. It produces a systematic, navigable HTML report, making it easy to identify sets of genes putatively driving multiple enrichments and to explore gene-level quantitative data first used to identify input genes. Further, GeneFEAST can compare FEA results from multiple studies, making it possible to, for example, highlight patterns of gene expression amongst genes commonly differentially expressed in two sets of conditions, and giving rise to shared enrichments under those conditions. GeneFEAST offers a novel, effective way to address the complexities of linking up many, overlapping FEA results to their underlying genes and data; advancing gene-centric hypotheses, and providing pivotal information for downstream validation experiments. 
