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archs4-databaselisted

Query ARCHS4 REST API for uniformly processed RNA-seq expression, tissue patterns, co-expression across 1M+ human/mouse samples. Retrieve z-scores, co-expressed genes, samples by metadata, HDF5 matrices. For variant population genetics use gnomad-database; for pathway enrichment use gget-genomic-databases (Enrichr).
jaechang-hits/SciAgent-Skills · ★ 193 · API & Backend · score 79
Install: claude install-skill jaechang-hits/SciAgent-Skills
# ARCHS4 Database ## Overview ARCHS4 (All RNA-seq and ChIP-seq Sample and Signature Search) is a resource of uniformly aligned and processed human and mouse RNA-seq data from NCBI GEO and SRA, covering 1 million+ samples. The REST API at `https://maayanlab.cloud/archs4/api/` provides gene-level expression profiles, z-score normalized tissue expression, co-expression networks, and sample metadata search — all without authentication. Large-scale bulk queries can also use the downloadable HDF5 expression matrices. ## When to Use - Retrieving tissue-specific or cell-type-specific expression z-scores for a gene of interest across hundreds of tissue types - Finding genes co-expressed with a query gene (co-expression network construction or guilt-by-association analysis) - Searching for RNA-seq samples by tissue, disease, or metadata keyword to identify candidate datasets for reanalysis - Comparing expression profiles of multiple genes across tissues to prioritize candidates for wet-lab follow-up - Accessing uniformly processed gene expression matrices (HDF5 format) for large-scale cross-study analysis - Validating differential expression results by checking whether a gene's expression direction matches population-level tissue profiles - For variant-level population allele frequencies use `gnomad-database`; ARCHS4 provides expression evidence only - For Enrichr pathway enrichment from a gene list use `gget-genomic-databases` (`gget enrichr`); ARCHS4 is for expression lookups ##