mutation-analysis-for-gene
CommunityCharacterize gene mutations across TCGA with visuals.
AuthorMDhewei
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Enables researchers to identify and quantify somatic mutations in a specified gene across TCGA cohorts, providing mutation frequencies, hotspot residues, and mutation-type classifications alongside publication-ready visualizations.
Core Features & Use Cases
- Cross-cohort mutation profiling: Aggregate somatic mutations for a gene across TCGA PanCancer Atlas studies.
- Hotspot detection: Identify recurrent amino-acid positions and summarize mutation types at hotspots.
- Multi-format outputs: Generate a mutation_summary.tsv, lollipop_plot.png, mutation_frequency.png, mutation_types.png, and hotspot_details.tsv for downstream analysis.
- Flexible data sources: Query cBioPortal by default and optionally consume a local MAF file as a fallback or supplement.
- Use Case: A researcher analyzes TP53 mutations to compare mutation burden and hotspot distribution between breast cancer and lung cancer cohorts, with ready-to-publish charts.
Quick Start
Run the mutation analysis by specifying a gene and optional mutation file to generate mutation summaries and visualizations.
Dependency Matrix
Required Modules
numpypandasmatplotlib
Components
scripts
💻 Claude Code Installation
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Please help me install this Skill: Name: mutation-analysis-for-gene Download link: https://github.com/MDhewei/bioinfor-claw/archive/main.zip#mutation-analysis-for-gene Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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