9bfd58221b1539193cb7f0a317b4e959c1c7e49a max Thu May 21 01:00:45 2026 -0700 varFreqs: AI generated text sounds bad, hard to read, so remove typical AI language. "humanizer" pass on all 31 varFreqs description pages — cut em dashes, copula avoidance ("serves as", "stands as"), "-ing" puffery, and boilerplate filler ("We provide documentation that indicates how..."). Title-case headings and meaningful emphasis preserved. No facts/URLs/counts/versions changed. tpmi.html added as a new file (was previously uncommitted). refs #36642 Co-Authored-By: Claude Sonnet 4.6 diff --git src/hg/makeDb/trackDb/human/sfariSparkExomes.html src/hg/makeDb/trackDb/human/sfariSparkExomes.html index 27e11ff2610..f3428e3fa2a 100644 --- src/hg/makeDb/trackDb/human/sfariSparkExomes.html +++ src/hg/makeDb/trackDb/human/sfariSparkExomes.html @@ -93,28 +93,28 @@ (CHIP). SFARI performed SNV/indel calling via DeepVariant and GATK to generate gVCFs, pairwise relatedness inferred using PLINK v1.9 IBD estimates from common SNPs (AF ≥ 0.01, dbSNP v151) with ≥15% relatedness flagged, and comprehensive individual- and family-level quality control executed using the internal GenomeCheckMate pipeline to exclude samples based on contamination (≥5%), insufficient coverage (<20x in <80% of targets), sex discordance, pedigree/IBD inconsistencies, unregistered relationships, unexpected duplicates, or excess relatedness, after which QC-passing individuals (selecting the most recent passing sample per person) were retained for variant calling and joint genotyping.

-We provide documentation that indicates how all source files of the varFreqs track were converted in the makeDoc file of the track. +The makeDoc file documents how all source files of the varFreqs track were converted. For some tracks, python scripts were necessary and are also available from GitHub.

References

SPARK Consortium. Electronic address: pfeliciano@simonsfoundation.org, SPARK Consortium. SPARK: A US Cohort of 50,000 Families to Accelerate Autism Research. Neuron. 2018 Feb 7;97(3):488-493. PMID: 29420931; PMC: PMC7444276