geo-database
GEO Gene Expression Omnibus Database
Overview
GEO (Gene Expression Omnibus) is NCBI's public repository for high-throughput functional genomics data, containing 200,000+ datasets (series) from microarrays, RNA-seq, ChIP-seq, methylation, and proteomics experiments. GEOparse provides a Python interface for downloading and parsing GEO records (GSE series, GPL platforms, GSM samples) while NCBI E-utilities enables programmatic search across GEO's metadata.
When to Use
- Searching for publicly available gene expression datasets by organism, tissue, disease, or experimental condition
- Downloading and parsing a specific GEO series (GSE) with its expression matrix and sample metadata
- Extracting sample annotation tables (e.g., treatment groups, clinical covariates) for meta-analysis
- Loading microarray expression data (GPL platform-annotated probes) into a tidy DataFrame
- Retrieving all GEO experiments associated with a gene or pathway of interest
- Building automated pipelines that download and process GEO datasets for downstream analysis
- For single-cell RNA-seq data at scale, use
cellxgene-census; for aligned reads, download FASTQ from ENA/SRA instead
Prerequisites
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