What problem does it solve? Bioinformatics research requires querying dozens of disparate databases (Ensembl, UniProt, NCBI, AlphaFold, Enrichr, ARCHS4, and more), each with its own API and data format. This Skill provides a unified command-line and Python interface to all of them, eliminating the need to learn and integrate each database separately. ## Core Features & Use Cases - Gene & Reference Queries: Search genes by name, fetch Ensembl reference genomes, retrieve gene/transcript metadata, and download nucleotide or protein sequences in FASTA format. - Sequence & Structure Analysis: Run BLAST/BLAT searches, multiple sequence alignment with Muscle5, fast local alignment with DIAMOND, AlphaFold2 structure prediction, and ELM motif detection. - Expression, Enrichment & Disease Data: Query ARCHS4 tissue expression, CELLxGENE single-cell data, Enrichr pathway enrichment, OpenTargets disease/drug associations, cBioPortal cancer genomics, and COSMIC mutations. - Use Case: Given a gene symbol like ACE2, retrieve its Ensembl ID, protein sequence, tissue expression profile, top correlated genes, disease associations, and known drug targets in a single scripted workflow. ## Quick Start Ask the AI to use gget to search for the gene ACE2 in human and retrieve its protein sequence and tissue expression data.