Search and download NCBI GEO datasets in SOFT or Series Matrix formats.
npx skills add https://github.com/Yezez9/Research-Agent --skill geo-database-yezez9
Please help me install this Agent Skill. Skill: geo-database Source: https://github.com/Yezez9/Research-Agent/tree/main/scientific-skills/geo-database Command: npx skills add https://github.com/Yezez9/Research-Agent --skill geo-database-yezez9
This Skill provides programmatic access to the NCBI Gene Expression Omnibus (GEO) database, enabling users to search for, retrieve, and analyze gene expression and functional genomics data.
Use the geo-database skill to download the series matrix file for GSE123456.
High-intent search queries and answers about installing and using this skill.
You can download and parse NCBI GEO series matrix files for gene expression analysis by using GEOparse to programmatically retrieve GSE datasets and load them into pandas DataFrames for immediate downstream processing.
Yes, you can search for specific RNA-seq datasets in the GEO database using accession numbers, keywords, or organisms to retrieve matching GSE, GSM, and GPL records directly through programmatic Biopython and GEOparse queries.
To identify differentially expressed genes from microarray data retrieved from NCBI GEO, you can apply statistical testing using statsmodels and scipy on the downloaded expression matrices to calculate fold changes and significance values.
Yes, this approach supports clustering and visualization for transcriptomics data fetched from GEO by utilizing seaborn and matplotlib to generate heatmaps and cluster maps from the normalized gene expression matrices.
The best way to retrieve supplementary files and SOFT formats from the Gene Expression Omnibus is to use GEOparse to programmatically fetch raw and processed dataset files, enabling seamless integration into custom functional genomics pipelines.
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robotlearning123Search and download gene expression datasets from NCBI GEO.
