数据与复现临床医学与医药FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
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bio-clinical-databases-tumor-mutational-burden

维护者 FreedomIntelligence · 最近更新 2026年4月1日

Calculate tumor mutational burden from panel or WES data with proper normalization and clinical thresholds. Use when assessing immunotherapy eligibility or characterizing tumor immunogenicity.

OpenClawNanoClaw分析处理复现实验bio-clinical-databases-tumor-mutational-burden🧬 bioinformatics (gptomics bio-* suite)bioinformatics — clinical databases & variant analysiscalculate

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-clinical-databases-tumor-mutational-burden

维护者
FreedomIntelligence
许可
MIT
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • Python:cyvcf2 ,用于 VCF parsing + variant counting per panel region。
  • Calculate TMB ,面向 my tumor sequencing data" → Compute tumor mutational burden as nonsynonymous coding mutations per megabase ,支持 proper panel normalization ,用于 immunotherapy eligibility assessment. Python:cyvcf2 ,用于 VCF parsing + variant counting per panel region。
  • PANEL_SIZES_MB = { 'FoundationOne CDx':0.8,'MSK-IMPACT':1.14,'TruSight Oncology 500':1.94,'Oncomine Comprehensive':1.5,'WES (exome)':30.0,# Approximate coding region 'WGS':3000.0,# Approximate }。
  • def calculate_tmb_panel(vcf_path,panel_name):'''Calculate TMB ,用于 known panel''' if panel_name not in PANEL_SIZES_MB:raise ValueError(f'Unknown panel:{panel_name}') return calculate_tmb(vcf_path,PANEL_SIZES_MB[panel_name])。

原始文档

SKILL.md 摘录

TMB Calculation from VCF (Ensembl VEP 111+)

Goal: Calculate tumor mutational burden as nonsynonymous coding mutations per megabase from a somatic VCF.

Approach: Iterate through VCF variants, filter for coding nonsynonymous consequences via VEP/SnpEff annotations, and divide count by panel size.

Panel-Specific TMB (Ensembl VEP 111+)

Goal: Calculate TMB normalized to known gene panel capture region sizes.

Approach: Look up the panel's megabase coverage from a reference table and pass to the TMB calculator.


## TMB with Variant Filtering (Ensembl VEP 111+)

**Goal:** Calculate TMB with quality and germline filters to reduce false positives.

**Approach:** Apply VAF, depth, and gnomAD population frequency filters before counting coding nonsynonymous variants.

适用场景

  • 适合在assessing immunotherapy eligibility 或 characterizing tumor immunogenicity时使用。

不适用场景

  • Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。

上游相关技能

  • variant-calling/somatic-variant-calling - Input variants
  • variant-calling/clinical-interpretation - ACMG/AMP classification
  • variant-calling/variant-annotation - VEP/SnpEff annotation

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