alphagenome-single-variant-analysis

Official

Analyze single variants across regulatory and splicing effects.

Authorgoogle-deepmind
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you evaluate how a single genetic variant may affect gene expression, chromatin accessibility, transcription factor binding, and splicing using the AlphaGenome API, producing interpretable plots and a report you can review for biological mechanisms.

Core Features & Use Cases

  • Single-variant effect analysis (REF vs ALT): Generates predictions and Ref/Alt visual comparisons for regulatory and splicing-relevant modalities.
  • Variant-driven discovery and tissue ranking: Supports a discovery scan and guides you to include disease-relevant tissues in the final interpretation.
  • Mechanistic motif insight via ISM: Uses in-silico mutagenesis to identify likely disrupted motifs at the variant locus.
  • Ontology term handling: Resolves and applies tissue/cell-type ontologies (e.g., UBERON/CL) and supports parsing variant formats such as chr:pos:ref>alt.

Quick Start

Use the alphagenome-single-variant-analysis skill to analyze a single variant in a tissue by generating AlphaGenome predictions, visualizations, and an output report.

Dependency Matrix

Required Modules

alphagenomeabsl-pypython-dotenvmatplotlibnumpypandaspyarrowscipyseaborn

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: alphagenome-single-variant-analysis
Download link: https://github.com/google-deepmind/science-skills/archive/main.zip#alphagenome-single-variant-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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