198c9b8daecc44fbda6a6494c566c723920f030a
lrnassar
  Wed Mar 11 18:25:21 2026 -0700
Fixing a few hundred clear typos with the help of Claude. Some are less important in code comments, but majority of them are in user-facing places. I manually approved 60%+ of the changes and didn't see any that were an incorrect suggestion, at worst it was potentially uncessesary, like a code comment having cant instead of can't. No RM.

diff --git src/hg/makeDb/trackDb/human/hg19/gnomad.html src/hg/makeDb/trackDb/human/hg19/gnomad.html
index ed4016e50bd..d6914d7ac79 100644
--- src/hg/makeDb/trackDb/human/hg19/gnomad.html
+++ src/hg/makeDb/trackDb/human/hg19/gnomad.html
@@ -1,128 +1,128 @@
 <h2>Description</h2>
 <p>
 The tracks that are listed here contain data from unrelated individuals sequenced as part of
 various population-genetic and disease-specific <a target="_blank"
 href="https://gnomad.broadinstitute.org/about">studies</a> collected by the <a target="_blank"
 href="https://gnomad.broadinstitute.org/">Genome Aggregation Database (gnomAD)</a>.
 Individuals affected by severe pediatric diseases and first-degree relatives were excluded from the
 studies. However, some individuals with severe disease may still have remained in the datasets,
 although probably at an equivalent or lower frequency than observed in the general population. Raw
 data from all studies have been reprocessed using a standardized pipeline and jointly variant-called
 process, which aims to increase consistency between projects. For more information on the processing
 pipeline and population annotations, see the following blog post <a target="_blank"
 href="https://macarthurlab.org/2017/02/27/the-genome-aggregation-database-gnomad">gnomAD</a>,
  <a target="_blank" href="https://macarthurlab.org/2018/10/17/gnomad-v2-1">gnomAD v2.1</a> 
 and the 2.0.2 <a href="https://storage.googleapis.com/gnomad-public/release/2.0.2/README.txt"
 target="_blank">README</a>.</p>
 
 <p>
 The available data tracks are:
 <ul>
 <li><a href="/cgi-bin/hgTrackUi?db=hg19&g=gnomadGenomes"><strong>Genome Variants 
 (gnomAD Genomes)</strong></a> - Shows single nucleotide
 variants (SNVs) and small insertion/deletion variants of &lt;50 nucleotides (indels) of 15,708 
 unrelated individuals' genome sequences from the v2.1.1 release.</li> 
 <li><a href="/cgi-bin/hgTrackUi?db=hg19&g=gnomadExomes"><strong>Exome 
 Variants (gnomAD Exomes)</strong></a> - Shows single nucleotide
 variants (SNVs) and small insertion/deletion variants of &lt;50 nucleotides (indels) of 125,748 
 unrelated individuals' exome sequences from the v2.1.1 release.</li>
 <li><a href="/cgi-bin/hgTrackUi?db=hg19&g=gnomadCoverage"><strong>Genome and Exome 
 Sample Coverage (gnomAD Coverage)</strong></a> - Shows various read depth variant 
 metrics calculated separately for exomes and genomes on a ~10% subset of the v2.0.2 samples.</li>
 <li><a href="/cgi-bin/hgTrackUi?db=hg19&g=gnomadPext"><strong>Proportion Expression 
 Across Transcript Scores (pext)</a></strong> - Shows exon-level expression for 
 53 GTEx tissues.</li>
 <li><a href="/cgi-bin/hgTrackUi?db=hg19&g=gnomadStructuralVariants"><strong>Structural 
 Variants (SV) (gnomAD Structural Variants)</strong></a> - Shows structural 
 variants calls (variants &gt;=50 nucleotides) from the gnomAD v2.1 release 
 on 10,847 unrelated genomes.</li>
 <li><a href="/cgi-bin/hgTrackUi?db=hg19&g=gnomadPLI"><strong>Predicted Constraint 
 Metrics (gnomAD Constraint Metrics)</strong></a> - Contains metrics of 
 pathogenicity per-gene as predicted for gnomAD v2.1.1.</li>
 <li><a href="/cgi-bin/hgTrackUi?db=hg19&g=gnomadMpc">
 <strong>Missense Deleteriousness Prediction by Constraint (MPC)</strong></a> - Regions of
 transcripts (not entire transcripts) that show enrichment of missense mutations.</li></ul>
 </p>
 
 <h2>Display Conventions</h2>
 <p>
 These tracks are multi-view composite tracks that contain multiple data types (views). Each view
 within a track has separate display controls, as described <a target="_blank"
 href="https://genome.ucsc.edu/goldenPath/help/multiView.html">here</a>. Most gnomAD tracks contain
 multiple subtracks, corresponding to subsets of data. If a track contains many subtracks, only some
-subracks will be displayed by default. The user can select which subtracks are displayed via the
+subtracks will be displayed by default. The user can select which subtracks are displayed via the
 display controls on the track details page.
 </p> 
 
 <h2>Data Access</h2>
 <p>
 The raw data can be explored interactively with the <a target="_blank" href="../cgi-bin/hgTables">
 Table Browser</a>, or the <a target="_blank" href="../cgi-bin/hgIntegrator">Data Integrator</a>. For
 automated analysis, the data may be queried from our <a target="_blank" 
 href="/goldenPath/help/api.html">REST API</a>, and the genome annotations are stored in files that 
 can be downloaded from our <a
 href="http://hgdownload.soe.ucsc.edu/gbdb/$db/gnomAD/" target="_blank">download server</a>, subject
 to the conditions set forth by the gnomAD consortium (see below). Coverage values
 for the genome are in <a target="_blank" href="../goldenPath/help/bigWig.html">bigWig</a> files in
 the coverage/ subdirectory. Variant VCFs can be found in the vcf/ subdirectory.</p>
 <p>
 The data can also be found directly from the gnomAD <a target="_blank" 
 href="https://gnomad.broadinstitute.org/downloads">downloads page</a>. Please refer to 
 our <a href="https://groups.google.com/a/soe.ucsc.edu/forum/#!forum/genome"
 target="_blank">mailing list archives</a> for questions, or our <a target="_blank"
 href="../FAQ/FAQdownloads.html#download36">Data Access FAQ</a> for more information.</p>
 
 <p>
 More information about using and understanding the gnomAD data can be found in the
 <a target="_blank" href="https://gnomad.broadinstitute.org/faq">gnomAD FAQ</a> site.
 </p>
 
 <h2>Credits</h2>
 <p>
 Thanks to the <a href="https://gnomad.broadinstitute.org/about" target="_blank">Genome Aggregation
 Database Consortium</a> for making these data available. The data are released under the <a
 href="https://opendatacommons.org/licenses/odbl/1.0/" target="_blank">ODC Open Database License
 (ODbL)</a> as described <a href="https://gnomad.broadinstitute.org/terms" target="_blank">here</a>.
 </p>
 
 <h2>References</h2>
 
 <p>
 Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, O'Donnell-Luria AH, Ware JS, Hill
 AJ, Cummings BB <em>et al</em>.
 <a href="https://www.ncbi.nlm.nih.gov/pubmed/27535533" target="_blank">
 Analysis of protein-coding genetic variation in 60,706 humans</a>.
 <em>Nature</em>. 2016 Aug 18;536(7616):285-91.
 PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/27535533" target="_blank">27535533</a>; PMC: <a
 href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5018207/" target="_blank">PMC5018207</a>
 </p>
 
 <p>
 Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alf&#246;ldi J, Wang Q, Collins RL, Laricchia KM,
 Ganna A, Birnbaum DP <em>et al</em>.
 <a href="https://www.ncbi.nlm.nih.gov/pubmed/32461654" target="_blank">
 The mutational constraint spectrum quantified from variation in 141,456 humans</a>.
 <em>Nature</em>. 2020 May;581(7809):434-443.
 PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/32461654" target="_blank">32461654</a>; PMC: <a
 href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334197/" target="_blank">PMC7334197</a>
 </p>
 
 <p>
 Collins RL, Brand H, Karczewski KJ, Zhao X, Alf&#246;ldi J, Francioli LC, Khera AV, Lowther C,
 Gauthier LD, Wang H <em>et al</em>.
 <a href="https://www.ncbi.nlm.nih.gov/pubmed/32461652" target="_blank">
 A structural variation reference for medical and population genetics</a>.
 <em>Nature</em>. 2020 May;581(7809):444-451.
 PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/32461652" target="_blank">32461652</a>; PMC: <a
 href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334194/" target="_blank">PMC7334194</a>
 </p>
 <p>
 Cummings BB, Karczewski KJ, Kosmicki JA, Seaby EG, Watts NA, Singer-Berk M, Mudge JM, Karjalainen J,
 Satterstrom FK, O'Donnell-Luria AH <em>et al</em>.
 <a href="https://www.ncbi.nlm.nih.gov/pubmed/32461655" target="_blank">
 Transcript expression-aware annotation improves rare variant interpretation</a>.
 <em>Nature</em>. 2020 May;581(7809):452-458.
 PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/32461655" target="_blank">32461655</a>; PMC: <a
 href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334198/" target="_blank">PMC7334198</a>
 </p>