scientific-human-protein-atlas
CommunityUnified HPA data insights for tissue and cancer.
Data & Analytics#gene-expression#hpa#protein-interactions#tissue-expression#protein-atlas#cancer-prognostics#subcellular-localization
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines access to Human Protein Atlas data for researchers, providing a unified workflow to assemble tissue-level protein expression, RNA expression, localization, and interaction information from disparate sources into actionable insights.
Core Features & Use Cases
- Retrieve basic gene information by Ensembl ID, including gene name and description.
- Compile tissue- and cell-type specific RNA expression profiles to support biomarker discovery.
- Access cancer prognostics data to evaluate potential prognostic markers across cancer types.
- Explore subcellular localization and protein interaction networks for systems biology analyses.
- Use Case: a researcher evaluates a candidate gene's tissue specificity and prognostic potential to prioritize experiments.
Quick Start
Run a quick query for ENSG00000141510 to fetch gene basics, tissue RNA expression, and subcellular locations, then review the protein interactions.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-human-protein-atlas Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-human-protein-atlas Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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