Do I need an account to use the NCBI GEO skill?

No account is needed for general browsing, but providing an email address for NCBI Entrez (E-utilities) is recommended for programmatic access to comply with NCBI's usage policies.

Can I download raw RNA-seq files using this skill?

Yes, the skill provides methods to locate and download supplementary files, including SRA metadata and processed files required for raw data analysis.

Is this skill useful for differential expression analysis?

Yes, it automates the data acquisition and matrix extraction steps, which are the essential first steps in any differential expression analysis workflow.

Which Python libraries are required for this skill?

The skill is designed to work with GEOparse for data manipulation and Biopython (Entrez) for searching and metadata retrieval.

What accession types does this skill support?

It supports all major NCBI GEO accession types, including Series (GSE), Samples (GSM), Platforms (GPL), and DataSets (GDS).

NCBI GEO Data Explorer

Name: NCBI GEO Data Explorer
Author: ovachiever

byovachiever

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Ciencia de Datos y ML

Accesses and retrieves gene expression data from the NCBI Gene Expression Omnibus (GEO) for advanced transcriptomics and genomic analysis.

This skill empowers researchers and bioinformaticians to programmatically interface with the NCBI Gene Expression Omnibus (GEO), the world's largest public repository for functional genomics. It facilitates the discovery and retrieval of high-throughput data, including RNA-seq and microarray datasets. By automating the search for Series (GSE), Samples (GSM), and Platforms (GPL), and providing seamless integration with specialized libraries like GEOparse and Biopython, it streamlines the complex workflow of downloading metadata, expression matrices, and supplementary files for downstream computational analysis and meta-studies.

Características Principales

01Hierarchical data organization handling for GSE, GSM, and GPL accessions

025 GitHub stars

03Search across 8+ million genomics samples using MeSH terms, organisms, and metadata

04Automated retrieval of experimental design metadata and raw supplementary files

05Integration with GEOparse for Python-based expression matrix extraction and filtering

06Programmatic download of Series Matrix and SOFT files via FTP and E-utilities

Casos de Uso

01Automating large-scale meta-analysis of public transcriptomics studies across different platforms

02Building automated bioinformatics pipelines that require programmatic synchronization with NCBI datasets

03Fetching specific gene expression profiles to compare target gene behavior across multiple disease states

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ovachiever/droid-tings geo-database

For use in Claude.ai and ChatGPT

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