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geo-database

Search, retrieve, and integrate GEO gene expression datasets across studies.

7|Updated Jan 27, 2026
Search Tags:#bioinformatics#meta-analysis#geo#data-retrieval#gene-expression#transcriptomics#geodata
One-click install
npx skills add https://github.com/wsxwj123/opencode-skills-backup --skill geo-database-wsxwj123
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: geo-database
Source: https://github.com/wsxwj123/opencode-skills-backup/tree/main/geo-database
Command: npx skills add https://github.com/wsxwj123/opencode-skills-backup --skill geo-database-wsxwj123

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Access GEO datasets and metadata (GSE, GSM, GPL) to search, download, and integrate transcriptomics data for expression analysis.

Core Features & Use Cases

  • Comprehensive data discovery: search GEO by keyword, organism, data type, and date range using GEOparse and E-utilities.
  • Flexible data retrieval: obtain series matrices, SOFT/MiMINiML files, and supplementary data for reproducible analyses.
  • Multi-study workflows: perform QC, normalization, differential expression, and meta-analysis across studies.

Quick Start

Run a GEO data retrieval workflow to fetch a GSE series matrix and load the expression data into your analysis environment.

Frequently Asked Questions about geo-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I download GEO gene expression datasets for meta-analysis?▼

Download GEO gene expression datasets by retrieving GSE series matrices, SOFT/MiMINiML files, and supplementary data using GEOparse, E-utilities, and FTP access for reproducible transcriptomics meta-analysis.

Can I search GEO transcriptomics data by organism and data type?▼

Search GEO transcriptomics data by keyword, organism, data type, and date range using E-utilities and GEOparse to discover relevant GSE, GSM, and GPL datasets for expression studies.

What is the best way to perform quality control across multiple GEO studies?▼

Perform quality control across multiple GEO studies by integrating downloaded series matrices and applying built-in preprocessing and normalization workflows to prepare data for differential expression analysis.

Does this workflow support retrieving GPL platform annotations and supplementary files?▼

Retrieve GPL platform annotations and supplementary files by accessing SOFT/MiMINiML formats via FTP and GEOparse, integrating complete metadata to support comprehensive gene expression data curation.

How do I load a fetched GEO series matrix into my analysis environment?▼

Load a fetched GEO series matrix into your analysis environment by running the data retrieval workflow to obtain the GSE expression data and importing the series matrix directly for downstream transcriptomics processing.

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