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Ensembl Database

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davila7·vlatest·database·MIT

Query Ensembl's genomic data—genes, variants, annotations—for research and analysis using davila7's specialized AI agent.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill ensembl-database -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

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Live repository

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About this skill

The Ensembl database skill provides direct access to a comprehensive biological knowledgebase containing genomic variation, gene annotation, and comparative genomics data for over 100 vertebrate species. It enables AI agents to retrieve specific sequence information, interpret complex genetic variants, and analyze evolutionary relationships across diverse organisms without requiring manual database navigation.

When to use it

  • Retrieving specific gene sequences or transcript annotations for human, mouse, or other model organisms.
  • Analyzing the functional impact of single nucleotide polymorphisms (SNPs) or structural variations.
  • Comparing genomic features across multiple species to identify conserved regions.
  • Accessing curated data on orthologs and paralogs for evolutionary studies.

Key capabilities

  • Querying gene structures, transcripts, and protein sequences.
  • Searching for specific variants and their associated phenotypes.
  • Performing cross-species comparisons of genomic alignments.
  • Retrieving metadata regarding gene function and pathway associations.

Example prompts

  • "Fetch the canonical transcript sequence for the BRCA1 gene in humans."
  • "What is the predicted effect of variant rs123456 on the TP53 protein structure?"
  • "Compare the orthologous regions of the insulin receptor gene between human and zebrafish."

Tips & gotchas

Ensure your queries specify the target species clearly, as Ensembl hosts data for many vertebrates. Complex queries involving multiple variants or large genomic intervals may require precise coordinate formatting to return accurate results.