bio-ctdna-mutation-detection
PKU-YuanGroup/OpenAI4SDetects somatic mutations in circulating tumor DNA, treating low-VAF detection as a signal-versus-noise problem set by error suppression and molecules…
Scores out of 100 · grade A
2026-08-22Works
40% of the score92/100
- Frontmatter name `bio-ctdna-mutation-detection` does not match its directory `bio-liquid-biopsy-ctdna-mutation-detection`.
Maintained
25% of the score100/100
- no commits in the last 12 weeks
Adopted
20% of the score35/100
- 335 stars on the source repo.
Documented
15% of the score100/100
- 2,911 words with worked examples.
- Ships 2 bundled files.
Install
npx skills add PKU-YuanGroup/OpenAI4S/bio-ctdna-mutation-detectionWhat the check found
| Finding | What it means |
|---|---|
| Name mismatch | The frontmatter name and the directory name disagree. |
What it says it does
Detects somatic mutations in circulating tumor DNA, treating low-VAF detection as a signal-versus-noise problem set by error suppression and molecules sampled, not by the choice of caller. Distinguishes de novo CALLING (scanning a panel for unknown variants, bounded by per-locus error and multiple testing) from tumor-informed DETECTION (tracking a pre-specified variant set, where panel integration reaches single-ppm). Covers VarDict and Mutect2 for de novo calling, UMI-aware callers, and a pysam-based known-variant VAF tracker, with matched-WBC subtraction as the mandatory defense against clonal hematopoiesis (the dominant false positive). Use when calling or tracking tumor mutations from plasma cfDNA, setting a VAF threshold, or deciding whether a low-VAF call is tumor versus CHIP.
Also in PKU-YuanGroup/OpenAI4S
| Artifact | Score | What the check found | Type | Reach | Last commit |
|---|---|---|---|---|---|
| bio-atac-seq-allele-specific-accessibilityPKU-YuanGroup/OpenAI4S | clean | Skill | 335 stars | today | |
| bio-atac-seq-atac-peak-callingPKU-YuanGroup/OpenAI4S | clean | Skill | 335 stars | today | |
| bio-atac-seq-consensus-peaksetPKU-YuanGroup/OpenAI4S | clean | Skill | 335 stars | today | |
| bio-atac-seq-deep-learning-atacPKU-YuanGroup/OpenAI4S | clean | Skill | 335 stars | today | |
| bio-atac-seq-footprintingPKU-YuanGroup/OpenAI4S | clean | Skill | 335 stars | today | |
| bio-causal-genomics-effector-gene-prioritizationPKU-YuanGroup/OpenAI4S | clean | Skill | 335 stars | today |
Other ai & agents skills
Browse all| Artifact | Score | What the check found | Category | Reach | Last commit |
|---|---|---|---|---|---|
| mcp-builderanthropics/skills | No license | AI & agents | 104,949 installs | today | |
| agent-developmentanthropics/claude-plugins-official | clean | AI & agents | 5,901 installs | today | |
| plugin-settingsanthropics/claude-plugins-official | clean | AI & agents | 5,465 installs | today | |
| skill-creatoranthropics/claude-plugins-official | clean | AI & agents | 5,836 installs | today | |
| microsoft-foundrymicrosoft/azure-skills | clean | AI & agents | 544,819 installs | today | |
| claude-apianthropics/skills | No license | AI & agents | 59,236 installs | today |
Put this measurement in your README
A badge carrying how many listings this index holds from the repository and how many pass every static structural check. It reads from this index every time somebody loads your page, so it changes when the measurement changes and there is nothing to keep up to date. Free, no account, and the value is not something you or we can set by hand.
[](https://skillworks.kynth.studio/?q=PKU-YuanGroup%2FOpenAI4S)Would rather not hotlink us? Every badge is also served in shields.io’s endpoint schema, so shields renders the image and your readers never talk to our domain:
Published by Toolproof, the masthead over this index and eight others. The method behind the number is at toolproof.kynth.studio/methodology, and the whole thing is readable as JSON with no key at /api.
