Design armored CAR-T cells with cytokine payloads and resistance mechanisms.
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.
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
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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