Data & ReproSingle-Cell & Spatial OmicsFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction
TU

tumor-heterogeneity-agent

Maintainer FreedomIntelligence · Last updated April 1, 2026

Analyze intratumoral heterogeneity from bulk and single-cell sequencing data.

OpenClawNanoClawAnalysisReproductiontumor-heterogeneity-agent🧠 bioos extended suiteoncology & precision medicine agentsanalyze

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tumor-heterogeneity-agent

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • The Tumor Heterogeneity Agent provides comprehensive analysis of intratumor heterogeneity (ITH) for understanding clonal architecture, tracking subclonal evolution, and predicting therapy resistance. It integrates multi-region sequencing, single-cell data, and longitudinal samples to reconstruct tumor phylogenies and identify actionable subclones.
  • When analyzing multi-region tumor sequencing for clonal architecture.
  • For tracking clonal evolution under treatment pressure.
  • To predict resistance emergence from subclonal populations.
  • When assessing tumor heterogeneity impact on treatment response.

Source Doc

Excerpt From SKILL.md

Core Capabilities

  1. Clonal Deconvolution: Infer clonal populations and their frequencies.

  2. Phylogeny Reconstruction: Build tumor evolutionary trees from variants.

  3. Subclonal Tracking: Monitor subclone dynamics over time.

  4. Resistance Prediction: Identify pre-existing resistant subclones.

  5. Multi-Region Integration: Combine spatial heterogeneity data.

  6. Single-Cell ITH: Integrate scDNA-seq for ground-truth clones.

Heterogeneity Metrics

MetricDefinitionClinical Relevance
MATH ScoreMutant-allele tumor heterogeneityITH quantification
Shannon IndexClonal diversityEvolutionary potential
Clone CountNumber of distinct clonesComplexity
Truncal Fraction% truncal mutationsTargetability
ITH ScoreComposite heterogeneityPrognosis

Workflow

  1. Input: Multi-region/longitudinal WES/WGS, copy number, tumor purity.

  2. Preprocessing: Variant calling, CNV calling, purity estimation.

  3. CCF Estimation: Calculate cancer cell fraction for each mutation.

  4. Clustering: Group mutations into clonal populations.

  5. Phylogeny: Reconstruct evolutionary tree.

  6. Temporal Analysis: Track clone dynamics over time.

  7. Output: Clone structures, phylogenies, heterogeneity metrics.

Use cases

  • Use tumor-heterogeneity-agent for single-cell or spatial omics analysis.
  • Apply tumor-heterogeneity-agent to clustering, integration, or trajectory workflows.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • ctDNA_Dynamics_MRD_Agent - Liquid biopsy tracking
  • Single_Cell_CNV_Agent - scDNA-seq analysis
  • HRD_Analysis_Agent - Genomic instability
  • Pan_Cancer_MultiOmics_Agent - Multi-omic integration

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