v2 methylation QC validated on minfiDataEPIC and against sesame (K-026)

beta r 0.99998 vs sesame 1.28.1 (max |dbeta| 0.011), detection calls 99.1% identical,
noob within 0.5% median; replicate r 0.997; all 21 control metrics pass. Spec deviations
recorded (5-field control lines, pOOBAH formula, minfi sheet keys). User guide section.

Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01814GKVzZVL3FuF3DeiZXhv

README.md

@@ -24,8 +24,8 @@ Commands: `simurg inspect`, `ingest`, `normalize`, `genotype`, `qc controls|samp
 `gtc-to-vcf`, `export plink|bedgraph|finalreport|locus-summary`, `compare`. **User guide: `docs/user_guide.md`**;
 worked example: `examples/gsa_demo.sh`. P9 (performance) is done: optional Rust kernels, byte-identical outputs,
 ~80 GSA samples/min per server core (`docs/validation/P9.md`). P10 (packaging) is done: wheels, Docker image and
-conda recipes, verified on fresh x86_64 and aarch64 machines (`docs/validation/P10.md`). Next (plan §18): v2 modules
-(cluster training, CN/LOH, PGx).
+conda recipes, verified on fresh x86_64 and aarch64 machines (`docs/validation/P10.md`). v2 in progress: methylation control QC (`simurg methyl qc`,
+`docs/validation/V2_methylation.md`); next CN/LOH, PGx, cluster training.
 
 ## Quick start