Open AccessGSEAplot: A Package for Customizing Gene Set Enrichment Analysis in R
Author(s) -
Sarah Innis,
Kelsie Reinaltt,
Mete Civelek,
W. T. Anderson
Publication year - 2021
Publication title -
journal of computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.585
H-Index - 95
eISSN - 1557-8666
pISSN - 1066-5277
DOI - 10.1089/cmb.2020.0426
Subject(s) - r package , computer science , personalization , set (abstract data type) , workspace , computational biology , source code , bioconductor , genomics , pipeline (software) , programming language , gene , biology , genome , world wide web , artificial intelligence , genetics , robot
Gene Set Enrichment Analysis (GSEA) is used to identify differentially expressed gene sets that are enriched for annotated biological functions. The existing GSEA R code is not in the form of a flexible package with analysis and plotting customization options, and the results produced are not generated in the form of R objects. In this study, we introduce the GSEAplot R package with novel functionality for saving relevant information from the analysis to the current R workspace, and we introduce the ability to customize plots and databases. The GSEAplot package provides a novel utility that facilitates the implementation of GSEA R-based in genomics analysis pipelines.