geo-database

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. 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. GEO organizes data hierarchically using different accession types: Series (GSE): A complete experiment with a set of related samples Sample (GSM): A single experimental sample or biological replicate Platform (GPL): The microarray or sequencing platform used DataSet (GDS): Curated collections with consistent formatting Profiles: Gene-specific expression data linked to sequence features GEO DataSets Search: Search for studies by keywords, organism, or experimental conditions: GEO Profiles Search: Find gene-specific expression patterns: Advanced Search Patterns: GEOparse is the primary Python library for accessing GEO data: Installation: Basic Usage: Working with Expression Data: Accessing Supplementary Files: Filtering and Subsetting Data: E-utilities provide lower-level programmatic access to GEO metadata: Basic E-utilities Workflow: Batch Processing with E-utilities: FTP URLs for GEO Data: GEO data can be...