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.