# Public CRISPR guide counting: Yusa/MAGeCK lane - Category: `Public data` - Assay type: `crispr` - Evidence level: Documented example - Dataset: MAGeCK/Yusa public CRISPR guide-counting FASTQs - Condition shown: Known-good guide-counting lane with count agreement and Edlib validation. - Primary report: [docs/benchmarks/public_crispr/README.md](../../benchmarks/public_crispr/README.md) ## What This Shows - DotMatch can run the documented fixed-window CRISPR guide-counting workflow on a public guide-counting lane. - The report shows exact, Hamming, and Levenshtein lanes separately instead of mixing their semantics. - Count-agreement and Edlib-validation artifacts are available for inspection. ## What It Does Not Show - This is not a universal CRISPR-screen analysis claim. - Downstream essentiality, differential abundance, and screen interpretation remain outside DotMatch. ## Comparator And Validation Comparator semantics: DotMatch guide counts are checked against public CRISPR workflow rows, count-agreement artifacts, and native Edlib assignment validation as documented in the benchmark report. Validation: The public CRISPR gate requires repeated rows, positive throughput records, count agreement artifacts, and zero Edlib assignment mismatches for checked reads. ## Report Examples - [Public CRISPR benchmark report](../../benchmarks/public_crispr/README.md) (`markdown`) - [Count agreement summary](../../../benchmarks/raw/count_agreement_summary.csv) (`csv`) ## Raw Artifacts - [benchmarks/raw/public_crispr_repeated.csv](../../../benchmarks/raw/public_crispr_repeated.csv) - [benchmarks/raw/public_crispr_edlib_validation.csv](../../../benchmarks/raw/public_crispr_edlib_validation.csv) - [benchmarks/raw/count_agreement_summary.csv](../../../benchmarks/raw/count_agreement_summary.csv) ## Reproduce Or Check - `make bench-public-crispr-repeated` - `make public-crispr-evidence-gate`