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