geo-database

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Access NCBI GEO for gene expression/genomics data. Search/download microarray and RNA-seq datasets (GSE, GSM, GPL), retrieve SOFT/Matrix files, for transcriptomics and expression analysis.

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Skill Content

# GEO Database ## Overview The Gene Expression Omnibus (GEO) is NCBI's public repository for high-throughput gene expression and functional genomics data. GEO contains over 264,000 studies with more than 8 million samples from both array-based and sequence-based experiments. ## When to Use This Skill This skill should be used when searching for gene expression datasets, retrieving experimental data, downloading raw and processed files, querying expression profiles, or integrating GEO data into computational analysis workflows. ## Core Capabilities ### 1. Understanding GEO Data Organization GEO organizes data hierarchically using different accession types: **Series (GSE):** A complete experiment with a set of related samples - Example: GSE123456 - Contains experimental design, samples, and overall study information - Largest organizational unit in GEO - Current count: 264,928+ series **Sample (GSM):** A single experimental sample or biological replicate - Example: GSM987654 - Contains individual sample data, protocols, and metadata - Linked to platforms and series - Current count: 8,068,632+ samples **Platform (GPL):** The microarray or sequencing platform used - Example: GPL570 (Affymetrix Human Genome U133 Plus 2.0 Array) - Describes the technology and probe/feature annotations - Shared across multiple experiments - Current count: 27,739+ platforms **DataSet (GDS):** Curated collections with consistent formatting - Example: GDS5678 - Experimentally-comparable samp...

Details

Author
davila7
Repository
davila7/claude-code-templates
Created
11 months ago
Last Updated
today
Language
Python
License
MIT

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