  Summary: 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 upstream FEA
pipelines. 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,
for example, to 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.
  Availability: GeneFEAST is available at
https://github.com/avigailtaylor/GeneFEAST
  Contact<EMAIL_ADDRESS>