数据与复现临床医学与医药FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
BI

bio-fragment-analysis

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

Analyzes cfDNA fragment size distributions and fragmentomics features using FinaleToolkit or Griffin. Extracts nucleosome positioning patterns, fragment ratios, and DELFI-style fragmentation profiles for cancer detection. Use when leveraging fragment patterns for tumor detection or tissue-of-origin analysis.

OpenClawNanoClaw分析处理复现实验bio-fragment-analysis🧠 bioos extended suiteoncology & precision medicine agentsanalyzes

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-fragment-analysis

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:Finale工具包 或 Griffin ,用于 fragment feature extraction。
  • Python:pysam ,用于 custom fragmentomics analysis。
  • 分析 cfDNA fragment patterns ,用于 cancer detection" → Extract fragmentomics features (size distributions,nucleosome positioning,DELFI profiles) ,面向 cfDNA ,用于 tumor detection 、 tissue-of-origin analysis. Python:Finale工具包 或 Griffin ,用于 fragment feature extraction Python:pysam ,用于 custom fragmentomics analysis。
  • 分析 cfDNA fragmentomics ,用于 cancer detection 、 characterization。

原始文档

SKILL.md 摘录

Genome-Wide Fragmentation Profile

Goal: Generate a genome-wide map of short-to-long fragment ratios across fixed-size bins, replicating the DELFI approach for cancer detection from cfDNA fragmentomics.

Approach: Iterate over proper-pair fragments in each genomic bin, classify each as short (100-150 bp) or long (151-220 bp), and compute the short/long ratio per bin as the fragmentation feature vector.

适用场景

  • 适合在leveraging fragment patterns ,用于 tumor detection 或 tissue-of-origin analysis时使用。

不适用场景

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

工具选择

Griffin

Tissue deconvolution

Nucleosome profiling

上游相关技能

  • cfdna-preprocessing - Preprocess before fragment analysis
  • tumor-fraction-estimation - Complement with CNV-based estimation
  • methylation-based-detection - Alternative detection approach

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