gget is a high-performance command-line and Python interface designed for bioinformaticians and researchers to efficiently query genomic data. It simplifies access to major databases like Ensembl, UniProt, and the PDB, while integrating advanced features like AlphaFold protein structure prediction, BLAST searches, and single-cell RNA-seq data retrieval. By automating complex workflows across multiple repositories, gget enables rapid sequence alignment, gene search, and metadata analysis directly from the terminal or within Python scripts, making it an essential tool for modern computational biology.
主要功能
01Gene expression analysis through ARCHS4 and CELLxGENE Discover Census
02Reference genome metadata and FASTA sequence downloads
0316 GitHub stars
04High-speed BLAST and BLAT sequence alignment modules
05Unified access to 20+ genomic and protein databases including Ensembl and UniProt
06AlphaFold2 integration for automated 3D protein structure prediction