gget

Query over 20 genomic databases for gene, sequence, and expression data.

Updated Jan 10, 2026
One-click install
npx skills add https://github.com/robinbarvaag/poynt --skill gget-robinbarvaag
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gget
Source: https://github.com/robinbarvaag/poynt/tree/main/.github/skills/gget
Command: npx skills add https://github.com/robinbarvaag/poynt --skill gget-robinbarvaag

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines complex bioinformatics tasks by providing a unified interface to over 20 genomic databases and analysis tools, eliminating the need to learn and use multiple disparate command-line tools or APIs.

Core Features & Use Cases

  • Data Retrieval: Quickly access gene information, sequences, protein structures, and expression data from sources like Ensembl, UniProt, and ARCHS4.
  • Sequence Analysis: Perform BLAST, BLAT, and alignment tasks directly.
  • Structure Prediction & Motif Analysis: Predict protein structures with AlphaFold and identify linear motifs.
  • Enrichment & Disease Analysis: Conduct pathway enrichment and query disease/drug associations.
  • Use Case: A researcher needs to find the protein sequence for a human gene, identify its associated diseases, and find similar sequences in a protein database. This Skill can perform all these steps with simple commands.

Quick Start

Use the gget skill to search for human genes related to 'GABA receptor' and retrieve their Ensembl IDs.

Frequently Asked Questions about gget

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

FAQPage Schema
How do I retrieve gene sequences and protein structures from Ensembl and UniProt?

To retrieve gene sequences and protein structures, you can query Ensembl and UniProt directly. This toolkit provides a unified interface to fetch gene information, sequences, and AlphaFold protein structures using simple commands.

Can I perform BLAST sequence analysis and query ARCHS4 expression data using a single tool?

Yes, you can perform BLAST sequence analysis and query ARCHS4 expression data using a single tool. It integrates sequence analysis algorithms and expression data querying into one command-line and Python interface.

What is the best way to conduct pathway enrichment analysis and query disease associations for a gene?

The best way to conduct pathway enrichment analysis and query disease associations is using an integrated toolkit. This solution queries the Enrichr database for pathway enrichment and retrieves associated disease and drug information efficiently.

Does this bioinformatics toolkit require managing multiple API dependencies for genomic data retrieval?

No, this bioinformatics toolkit does not require managing multiple API dependencies for genomic data retrieval. It eliminates the need to use disparate APIs by providing a single interface to over 20 genomic databases.

How do I find similar protein sequences and identify linear motifs after retrieving a gene?

To find similar protein sequences and identify linear motifs after retrieving a gene, use the integrated BLAST functionality and motif analysis features. This allows direct sequence database searching and linear motif identification.

When do I need a unified command-line interface for bioinformatics queries across multiple genomic databases?

You need a unified command-line interface for bioinformatics queries when streamlining complex tasks across multiple genomic databases. It replaces the need to learn and use disparate tools for gene information, sequences, and expression data.