scientific-cancer-genomics

Integrate COSMIC, cBioPortal, and DepMap for unified cancer genomics mutation profiling.

3|1|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/nahisaho/satori --skill scientific-cancer-genomics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-cancer-genomics
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-cancer-genomics
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-cancer-genomics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill unifies COSMIC, cBioPortal, and DepMap to streamline cross-portal cancer genomics analysis, enabling researchers to correlate mutations, gene essentiality, and copy number alterations across datasets.

Core Features & Use Cases

  • Unified data integration: combine mutation catalogs, molecular profiles, and dependency data from the three portals.
  • Variant interpretation and signature analysis: supports mutation profiling, SBS/DBS/ID signatures, and cross-cancer comparisons.
  • ToolUniverse SMCP integration: coordinates 13 ToolUniverse tools for end-to-end analysis across databases.
  • Use Case: researchers study a gene across cancers to assess mutation frequency, essentiality, and CNA patterns and generate a consolidated report.

Quick Start

Perform an integrated query across COSMIC, cBioPortal, and DepMap to generate a combined mutation profile for a gene of interest.

Frequently Asked Questions about scientific-cancer-genomics

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

FAQPage Schema
How do I integrate COSMIC and DepMap data for cross-database cancer mutation profiling?

Integrating COSMIC and DepMap data for cross-database cancer mutation profiling requires unifying mutation catalogs and dependency datasets. This skill orchestrates data retrieval from multiple portals to produce standardized combined mutation profiles for your gene of interest.

Can I perform mutational signature extraction across diverse cancer types using cBioPortal data?

Yes, mutational signature extraction across diverse cancer types is supported using cBioPortal data. The skill coordinates cross-database mutation analysis, enabling SBS and DBS signature extraction alongside molecular profile comparisons.

What is the best way to assess gene essentiality and CNA patterns across multiple cancer genomics datasets?

Assessing gene essentiality and CNA patterns across cancer genomics datasets is best achieved by combining DepMap dependency data with cBioPortal molecular profiles. This approach correlates mutations, gene essentiality, and copy number alterations into a consolidated report.

Does cancer genomics portal integration support cross-database mutation analysis without manual data wrangling?

Cancer genomics portal integration supports cross-database mutation analysis without manual data wrangling by orchestrating 13 ToolUniverse SMCP tools. It coordinates end-to-end data retrieval from COSMIC, cBioPortal, and DepMap to generate standardized results automatically.

How do I generate a combined mutation profile for a specific gene across different cancer datasets?

Generating a combined mutation profile for a specific gene involves querying integrated COSMIC, cBioPortal, and DepMap data. This skill retrieves mutation frequency, essentiality, and CNA patterns across datasets to produce a consolidated report.

Are there limitations when correlating gene essentiality with copy number alterations across different cancer portals?

Correlating gene essentiality with copy number alterations across cancer portals depends on standardized data integration. While this skill streamlines cross-portal analysis, results are constrained by the coordinate capabilities of the 13 ToolUniverse SMCP tools and source database coverage.