Accesses and analyzes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and genomics research.
This skill empowers Claude to interact with the NCBI Gene Expression Omnibus (GEO), the world's largest public repository for high-throughput gene expression and functional genomics data. It enables researchers to programmatically search for series (GSE), samples (GSM), and platforms (GPL), then download and parse datasets for microarray and RNA-seq analysis. By leveraging libraries like GEOparse and NCBI E-utilities, the skill streamlines the process of retrieving expression matrices, metadata, and supplementary files, facilitating rapid exploratory data analysis and bioinformatics workflow integration within the Claude environment.
Key Features
01Programmatic search of GEO DataSets and Profiles via NCBI Entrez
02Automated downloading and parsing of GSE, GSM, and GPL records
03Integration with GEOparse for seamless expression matrix extraction
04Support for direct FTP access and batch metadata retrieval
05Capabilities for filtering samples based on experimental metadata
063 GitHub stars
Use Cases
01Retrieving gene expression matrices for differential expression analysis
02Conducting meta-analyses by aggregating data from multiple GEO series
03Automating bioinformatics data collection for specific organisms or diseases
