Accesses and analyzes data from over 20 genomic and proteomic databases through a unified interface.
gget is a specialized bioinformatics skill that integrates over 20 genomic and proteomic databases directly into the Claude environment. It enables researchers and developers to perform complex biological tasks—such as AlphaFold protein structure predictions, BLAST searches, and single-cell RNA-seq data retrieval—using a consistent, streamlined interface. By automating the fetching of gene metadata, sequences, and expression data, it eliminates the need for manual navigation through multiple disparate web portals, making it an essential tool for interactive scientific exploration and data analysis.
Key Features
010 GitHub stars
02Unified access to 20+ genomic and proteomic databases including Ensembl, UniProt, and NCBI
03Comprehensive gene searching and metadata extraction across multiple species
04Integrated AlphaFold2 structure prediction and 3D protein visualization capabilities
05Automated sequence analysis tools for BLAST, BLAT, and Muscle5 alignment
06Access to large-scale expression data from ARCHS4 and CZ CELLxGENE Discover Census
Use Cases
01Performing multiple sequence alignments and BLAST searches for evolutionary or comparative genomics
02Retrieving detailed gene metadata and amino acid sequences for specific Ensembl IDs
03Predicting 3D protein structures and identifying eukaryotic linear motifs (ELMs) for structural biology research
