Query and synthesize bioinformatics database results for genes, proteins, and sequences.
npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill gget-jasrajtulsi
Please help me install this Agent Skill. Skill: gget Source: https://github.com/jasrajtulsi/GRAD-SCOPE/tree/main/.claude/skills/gget Command: npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill gget-jasrajtulsi
gget removes the friction of hopping across many separate bioinformatics websites and APIs by giving you one consistent way to search genes, retrieve sequences, inspect protein structures, analyze expression, and explore disease or drug associations.
Use the gget skill to analyze the gene or sequence you provide, then return the most relevant database results, sequences, expression signals, and disease associations for your target organism.
High-intent search queries and answers about installing and using this skill.
To query multiple bioinformatics databases for gene sequences and protein structures, this skill searches Ensembl, UniProt, and NCBI using a single gene symbol, retrieving nucleotide sequences, metadata, and AlphaFold predictions in one consistent pass.
Fetching gene expression data and testing disease associations is handled by querying ARCHS4, CELLxGENE, and OpenTargets, returning tissue specificity signals and disease links compiled into tabular CSV output for downstream analysis.
Yes, you can run BLAST sequence alignment and enrichment analysis against Ensembl and UniProt, as the runtime supports BLAST, BLAT, MUSCLE, DIAMOND, and Enrichr queries for sequence matching and functional enrichment workflows.
This gene search approach works with cancer datasets like cBioPortal and COSMIC, allowing you to query cancer mutations, explore viral datasets, and retrieve disease associations directly from those specialized bioinformatics databases.
Yes, you need pandas installed to save sequence and expression query results, because the skill uses pandas-backed scripts for reading input data and writing tabular outputs like CSV files for downstream bioinformatics workflows.
silversteinRetrieve genomic, sequence, structural, and functional evidence for genes and proteins via unified gget modules.
monarch-initiativeIdentify enriched pathways, GO terms, and disease associations from gene lists.
nahisahoRetrieve genome sequences and annotate variants across Ensembl, dbSNP, BLAST, NCBI Nucleotide, and GDC via Python REST APIs.
biomaps-infraQuery over 20 bioinformatics databases via command-line and Python interfaces.
