Identification of differentially expressed genes is an important step in extracting knowledge from gene expression profiling studies. The raw expression data from microarray and other high-throughput technologies is deposited into the Gene Expression Omnibus (GEO) and served as Simple Omnibus Format in Text (SOFT) files. However, extracting and analyzing differentially expressed genes from GEO requires significant computational skills.
GEO2Enrichr is a browser extension that can be used to extract differentially expressed gene sets from GEO, and analyzing those sets with Enrichr through a user interface. GEO2Enrichr adds functionality to GEO web-pages where with one click, users can submit two groups of samples to our web-server. The server downloads the SOFT files, parses, cleans, and normalizes the data, identifies the differentially expressed genes, and then pipes the resulting gene lists to Enrichr for downstream functional analysis. GEO2Enrichr can help researchers to quickly explore hypotheses with no technical overhead, lowering the barrier of entry for biologists by automating data processing steps needed for knowledge extraction from the major repository GEO.