gget

Retrieve genomic, sequence, structural, and functional evidence for genes and proteins via unified gget modules.

21|2|Updated Dec 8, 2025
One-click install
npx skills add https://github.com/silverstein/claude-scientific-skills-desktop --skill gget-silverstein
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gget
Source: https://github.com/silverstein/claude-scientific-skills-desktop/tree/main/corpus/gget
Command: npx skills add https://github.com/silverstein/claude-scientific-skills-desktop --skill gget-silverstein

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

gget eliminates the time-consuming chore of stitching together multiple bioinformatics tools and APIs by providing a single, consistent interface for common genomic, sequence, and analysis queries.

Core Features & Use Cases

  • Unified gene and database querying: Search genes, retrieve gene/transcript metadata, and get sequences with consistent module interfaces.
  • Sequence analysis and similarity: Run BLAST/BLAT and perform multiple sequence alignment workflows without manual format wrangling.
  • Structure, motifs, and expression context: Pull structure metadata, run simplified AlphaFold workflows, predict eukaryotic linear motifs, and query expression/correlation and disease/drug associations.
  • Use Case: You have a gene name list and need results that include Ensembl identifiers, protein sequences, BLAST hits, and disease associations; use gget modules to generate the full, connected evidence set.

Quick Start

Use gget to search for genes by name in human for the terms BRCA and cancer by running: gget search -s homo_sapiens BRCA cancer.

Frequently Asked Questions about gget

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve protein sequences and gene metadata for a list of gene names?▼

You can retrieve protein sequences and gene metadata by querying gene names through a unified bioinformatics interface, returning Ensembl identifiers, transcript metadata, and associated sequences in a single connected result set.

Can I run BLAST similarity searches and fetch disease associations together?▼

BLAST similarity searches and disease association lookups can be executed together through a single toolkit, eliminating the need to manually stitch together multiple APIs and separate analysis tools.

What's the best way to query gene expression correlation and predict eukaryotic motifs?▼

Querying expression correlation and predicting eukaryotic linear motifs are supported through dedicated modules, allowing you to mine expression data and predict motifs without manual format conversion.

Do I need to set up AlphaFold separately to pull protein structure metadata?▼

AlphaFold structure workflows require an optional one-time setup, along with similar setup for modules like elm or cellxgene, before pulling simplified structure metadata and running structural queries.

How does a unified genomics interface compare to running separate bioinformatics tools?▼

A unified genomics interface provides a consistent module interface for gene discovery, sequence retrieval, and BLAST searches, replacing the time-consuming chore of manually wrangling formats across multiple independent tools.

Why does my gene search require specific identifiers and parameters per module?▼

Gene search requires correct identifiers and parameters per module to accurately query underlying genomic databases, ensuring that sequence retrieval, BLAST, and expression mining return valid evidence.