bio-crispr-screens-in-vivo-screens
PKU-YuanGroup/OpenAI4SDesigns and analyzes in vivo CRISPR screens in animal tumor models, organoids, and immune-cell adoptive transfers. Covers bottleneck math (250x cells/sgRNA…
Scores out of 100 · grade A
2026-08-22Works
40% of the score90/100
- References 1 file that is not in the repo: examples/per_animal_meta_analysis.py.
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
- 1,872 words with worked examples.
- Ships 2 bundled files.
Install
npx skills add PKU-YuanGroup/OpenAI4S/bio-crispr-screens-in-vivo-screensWhat the check found
| Finding | What it means |
|---|---|
| Missing files | It points at files that are not in the repository, so those steps will fail. |
Files it references that are not in the repository
What it says it does
Designs and analyzes in vivo CRISPR screens in animal tumor models, organoids, and immune-cell adoptive transfers. Covers bottleneck math (250x cells/sgRNA requires ~25M cells implanted; impossible for most syngeneic models, forcing focused libraries), focused library design (Manguso 2017 Nature 547:413 immune screen; Chen 2015 tumor screens), CRISPR-StAR intrinsic-control screening (Uijttewaal 2025 Nat Biotechnol 43:1848), clonal-dynamics-limited detection, tumor-explant DNA recovery, syngeneic vs xenograft vs PDX considerations, and the relationship to downstream MAGeCK / drugZ analysis. Use when designing in vivo CRISPR screens for tumor / immune / metastasis biology, choosing focused vs genome-wide for animal models, addressing bottleneck-induced clonal collapse, picking the syngeneic / xenograft / PDX model, integrating in vivo with in vitro results, or applying CRISPR-StAR for animal experiments.
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 |
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