scientific-arrayexpress-expression

Search ArrayExpress and BioStudies for expression experiments and retrieve metadata.

3|1|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/nahisaho/satori --skill scientific-arrayexpress-expression
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-arrayexpress-expression
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-arrayexpress-expression
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-arrayexpress-expression

SYSTEM DOCUMENTATION & REQUIREMENTS

ArrayExpress 発現アーカイブスキル。BioStudies/ArrayExpress REST API を活用した発現データ検索・メタデータ取得・再解析パイプラインを提供する。

What problem does it solve?

Large-scale expression datasets across ArrayExpress and BioStudies are scattered and difficult to compare; this skill centralizes discovery, metadata extraction, and cross-study reanalysis steps to streamline data-driven research.

Core Features & Use Cases

  • Search expression experiments across ArrayExpress and BioStudies and retrieve metadata.
  • Retrieve SDRF sample information and associated files for downstream analyses.
  • Perform cross-study reanalysis by assembling expression matrices and metadata for comparative studies.

Quick Start

Invoke the arrayexpress-expression pipeline with your search query to retrieve experiments and download metadata for downstream reanalysis.

Frequently Asked Questions about scientific-arrayexpress-expression

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

FAQPage Schema
How do I search and retrieve RNA-seq expression data from ArrayExpress and BioStudies?

The skill searches ArrayExpress and BioStudies public APIs to retrieve expression experiments and metadata. It applies cross-database discovery to find RNA-seq and microarray studies, centralizing scattered datasets for streamlined comparative research.

What is the best way to parse SDRF sample metadata for downstream expression reanalysis?

Parsing SDRF sample metadata involves retrieving SDRF files via the ArrayExpress API to extract structured sample information. This prepares associated files and metadata for assembling expression matrices in downstream cross-study reanalysis.

Can I perform cross-study reanalysis by combining expression matrices from multiple ArrayExpress experiments?

Yes, cross-study reanalysis is possible by assembling expression matrices and metadata retrieved from multiple ArrayExpress experiments. This enables comparative analysis across different RNA-seq and microarray datasets using centralized discovery.

Does this ArrayExpress metadata retrieval tool support both RNA-seq and microarray studies?

Yes, the tool supports both RNA-seq and microarray studies. It retrieves expression experiments and metadata across ArrayExpress and BioStudies databases, enabling cross-database discovery for both data types.

How are API errors handled when retrieving expression data from BioStudies and ArrayExpress?

API errors during data retrieval are handled gracefully with built-in validation and fallback mechanisms. This ensures the metadata extraction and SDRF parsing pipeline remains robust even when public API requests encounter issues.