383da828477aad2b3c6053880a64fdbfc2a00cd9
max
  Thu Mar 19 02:30:41 2026 -0700
Fix varFreqs HTML issues and trexplorer citation, from AI code review 2026-03-19, refs #36642

Fix broken $db download URLs to hg38 in 14 HTML files, correct "Japanese"
to "Korean" in kova.html, fix "area" typo in schema.html, fix "Finnland"
to "Finland" in varFreqs.ra, normalize GREGoR capitalization, fix grammar,
quote all target=_blank attributes, capitalize GitHub consistently, and
fix bioRxiv citation formatting in trexplorer.html.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

diff --git src/hg/makeDb/trackDb/human/hgdp1kFreq.html src/hg/makeDb/trackDb/human/hgdp1kFreq.html
index 7897a903467..9a200a62463 100644
--- src/hg/makeDb/trackDb/human/hgdp1kFreq.html
+++ src/hg/makeDb/trackDb/human/hgdp1kFreq.html
@@ -1,79 +1,79 @@
 <h2>Description</h2>
 <p>
 A reprocessed callset by the <a href="https://gnomad.broadinstitute.org/news/2021-10-gnomad-v3-1-2-minor-release/"
 target="_blank">gnomAD project</a> combining the 1000 Genomes and Human Genome Diversity Project
 (HGDP) data, with 4,094 whole genomes from 80 populations. The dataset includes per-population
 allele frequencies for all 80 populations as well as broad continental groupings from gnomAD
 (African, Admixed American, East Asian, European, Middle Eastern, South Asian, and others).
 </p>
 
 <p>
 This track shows allele frequencies only. The full phased genotype data with haplotype
 clustering display is available in the
 <a href="hgTrackUi?g=hgdp1k">gnomAD HGDP+1000G track</a> under Phased Variants.
 The track here does not include the full variant frequencies for all subpopulations, instead, 
 it aggregates frequencies to the main groups, AFR, AMI, AMR, ASJ, EAS, FIN, MID, NFE, OTH, SAS. 
 To access the full frequency information, use the track under "Phased Variants".
 </p>
 
 <h2>Data Access</h2>
 <p>
 The data can be explored interactively with the
 <a href="../cgi-bin/hgTables">Table Browser</a> or the
 <a href="../cgi-bin/hgIntegrator">Data Integrator</a>.
 For programmatic access, our <a href="https://api.genome.ucsc.edu">REST API</a> can be used; the
 track name is <em>hgdp1kFreq</em>.
 For bulk download, the VCF file can be obtained from
-<a href="http://hgdownload.soe.ucsc.edu/gbdb/$db/varFreqs/" target="_blank">our download server</a>.
+<a href="http://hgdownload.soe.ucsc.edu/gbdb/hg38/varFreqs/" target="_blank">our download server</a>.
 </p>
 <p>
 The original VCFs with full genotypes can also be downloaded from
 <a href="https://gnomad.broadinstitute.org/downloads#v3-hgdp-1kg"
 target="_blank">gnomAD Downloads</a>.
 </p>
 
 <h2>Methods</h2>
 <p>
 The gnomAD project reprocessed 4,094 whole genomes from the 1000 Genomes Project and the Human
 Genome Diversity Project (HGDP) through a unified pipeline. Sequencing was performed on Illumina
 platforms at a mean coverage of 32&ndash;34x. Reads were aligned to GRCh38 (hs38DH reference with
 decoy and HLA sequences) using BWA-MEM 0.7.15. Variant calling followed GATK best practices:
 per-sample calling with GATK 3.5 HaplotypeCaller followed by joint genotyping with GATK4 using
 the Hail VCF combiner for scalable merging. Allele-specific variant quality score recalibration
 (AS-VQSR) was applied for both SNPs and indels. Sample QC included contamination estimation
 (verifyBamID), sex concordance, relatedness filtering (PC-Relate), and population assignment
 using PCA against gnomAD reference panels. Per-population allele frequencies were computed for
 80 fine-grained populations as well as broad continental groupings.
 </p>
 <p>
-We provide documentation that indicates how all source files of the varFreqs track were converted in the <a href="https://github.com/ucscGenomeBrowser/kent/blob/master/src/hg/makeDb/doc/hg38/varFreqs.txt" target=_blank>makeDoc file</a> of the track.
-For some tracks, python scripts were necessary and are also available from <a href="https://github.com/ucscGenomeBrowser/kent/blob/master/src/hg/makeDb/scripts/varFreqs" target=_blank>Github</a>.
+We provide documentation that indicates how all source files of the varFreqs track were converted in the <a href="https://github.com/ucscGenomeBrowser/kent/blob/master/src/hg/makeDb/doc/hg38/varFreqs.txt" target="_blank">makeDoc file</a> of the track.
+For some tracks, python scripts were necessary and are also available from <a href="https://github.com/ucscGenomeBrowser/kent/blob/master/src/hg/makeDb/scripts/varFreqs" target="_blank">GitHub</a>.
 </p>
 
 <h2>Credits</h2>
 <p>
 Thanks to the gnomAD team at the Broad Institute for harmonizing and making this dataset
 publicly available, and to all participants of the 1000 Genomes Project and the Human Genome
 Diversity Project.
 </p>
 
 <h2>References</h2>
 <p>
 Koenig Z, Yohannes MT, Nkambule LL, Zhao X, Goodrich JK, Kim HA, Wilson MW, Tiao G, Hao SP, Sahakian
 N <em>et al</em>.
 <a href="https://pmc.ncbi.nlm.nih.gov/articles/pmid/38749656/" target="_blank">
 A harmonized public resource of deeply sequenced diverse human genomes</a>.
 <em>Genome Res</em>. 2024 Jun 25;34(5):796-809.
 PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/38749656" target="_blank">38749656</a>; PMC: <a
 href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11216312/" target="_blank">PMC11216312</a>
 </p>
 
 <p>
 Bergstr&ouml;m A, McCarthy SA, Hui R, Almarri MA, Ayub Q, Danecek P, Chen Y, Felkel S, Hallast P, Kamm J
 <em>et al</em>.
 <a href="https://www.science.org/doi/10.1126/science.aay5012" target="_blank">
 Insights into human genetic variation and population history from 929 diverse genomes</a>.
 <em>Science</em>. 2020 Mar 20;367(6484).
 PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/32193295" target="_blank">32193295</a>; PMC: <a
 href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115999/" target="_blank">PMC7115999</a>
 </p>