gget

Query over 20 bioinformatics databases via command-line and Python interfaces.

8|Updated Jan 13, 2026

Search Tags:#bioinformatics #protein structure #genomics #sequence analysis #gene expression #genomic databases

Ready to run

npx skills add https://github.com/hxk622/TokenDance --skill gget-hxk622

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gget
Source: https://github.com/hxk622/TokenDance/tree/main/backend/app/skills/builtin/scientific/bioinformatics/gget
Command: npx skills add https://github.com/hxk622/TokenDance --skill gget-hxk622

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a unified command-line and Python interface to query over 20 bioinformatics databases, simplifying complex genomic and proteomic data retrieval and analysis.

Core Features & Use Cases

Rapid Data Access: Quickly query gene information, sequences, structures, expression data, and more from diverse biological databases.
Streamlined Analysis: Perform tasks like BLAST searches, sequence alignment, and enrichment analysis directly within your workflow.
Use Case: You need to find the protein sequence for a specific gene, check its known disease associations, and then perform a BLAST search against the Swiss-Prot database. This Skill allows you to do all of this with simple commands.

Quick Start

Use the gget skill to search for gene information for 'TP53' in human.

Frequently Asked Questions about gget

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

FAQPage Schema

How do I query multiple bioinformatics databases for gene information and sequences?▼

To query bioinformatics databases for gene information and sequences, you can use a unified command-line and Python interface to retrieve data from over 20 sources like Ensembl and UniProt. This simplifies complex genomic data retrieval into simple commands.

What is the best way to find protein structures and perform sequence analysis?▼

Finding protein structures and performing sequence analysis is best handled by querying databases like RCSB PDB and UniProt. You can retrieve structural data and execute BLAST searches directly within your workflow to streamline proteomic research.

Can I query gene expression data and perform enrichment analysis in Python?▼

Yes, you can query gene expression data and perform enrichment analysis in Python by interfacing with databases like ARCHS4. This allows direct integration of expression data querying into biological research workflows.

How do I find disease associations for a specific gene?▼

To find disease associations for a specific gene, query databases like OpenTargets through a unified command-line interface. This facilitates rapid retrieval of known disease associations for drug discovery workflows.

What bioinformatics databases are supported for genomic and proteomic data retrieval?▼

Supported bioinformatics databases for genomic and proteomic data retrieval include Ensembl, UniProt, NCBI, RCSB PDB, ARCHS4, and OpenTargets. Over 20 databases are accessible for sequence analysis and structural prediction.

Does this tool work for drug discovery workflows and biological research?▼

Yes, this tool works for drug discovery workflows and biological research by facilitating tasks such as gene information retrieval, sequence alignment, and enrichment analysis. It streamlines querying diverse biological databases.