6b0d68657267f1e02c47d4224ea62446bbbb2ba0
max
  Fri May 22 06:55:52 2026 -0700
small non-AI changes to the html docs pages of the long-read SV tracks

diff --git src/hg/makeDb/trackDb/human/cpc1Sv.html src/hg/makeDb/trackDb/human/cpc1Sv.html
index 167e890b81d..b5d40795e95 100644
--- src/hg/makeDb/trackDb/human/cpc1Sv.html
+++ src/hg/makeDb/trackDb/human/cpc1Sv.html
@@ -1,85 +1,85 @@
 <h2>Description</h2>
 
 <p>
-This track displays structural variants (SVs) &mdash; deletions, insertions,
-and complex substitutions of at least 50 bp &mdash; identified by the
+This track displays structural variants (SVs) at least 50 bp long
+(deletions, insertions, and complex substitutions) identified by the
 Chinese Pangenome Consortium (CPC) in 58 samples representing 36 Chinese
 minority ethnic groups.</p>
 
 <p>
 The upstream release combined the 58 CPC samples with 47 samples from
 Phase 1 of the Human Pangenome Reference Consortium (HPRC) into a single
 pangenome graph built on the T2T-CHM13v2 assembly with Minigraph-Cactus.
 For this track we recomputed allele counts (AC), allele numbers (AN) and
 sample counts (NS) using only the 58 CPC sample columns (those with
 <tt>HIFI032*</tt> or <tt>RY*</tt> prefixes in the source VCF) and dropped
 all snarls that no CPC sample carries (HPRC-specific SVs). To see the
 HPRC data on its own, use the HPRC SV tracks elsewhere in this collection.</p>
 
 <p>
 A pangenome is a graph that represents many genomes simultaneously, letting
 variants that are missing from a single linear reference be captured and
 typed directly. Variants are shown natively on the hs1 browser and lifted
 to hg38 using the UCSC <tt>hs1ToHg38.over.chain.gz</tt> chain. The track
 contains 46,092 snarl sites on hs1 and 36,030 lifted to hg38 (10,062 did
 not lift, typically in T2T-added repetitive regions).</p>
 
-<h2>Display conventions</h2>
+<h2>Display Conventions and Configuration</h2>
 
 <p>Items are colored by SV type:</p>
 <ul>
   <li><span style="background-color:rgb(0,0,200);color:white;padding:1px 6px">INS</span> insertion (net ALT longer by &ge;50 bp)</li>
   <li><span style="background-color:rgb(200,0,0);color:white;padding:1px 6px">DEL</span> deletion (net REF longer by &ge;50 bp)</li>
   <li><span style="background-color:rgb(230,140,0);color:white;padding:1px 6px">CPX</span> complex substitution (similar-length REF and ALT but at least one &ge;50 bp)</li>
   <li><span style="background-color:rgb(120,120,120);color:white;padding:1px 6px">MIXED</span> snarl whose collapsed alt alleles belong to different classes</li>
 </ul>
 
 <p>
 Each bed item spans from the start of the REF allele to its end on the
 reference. Pure insertions (where REF is a single base) therefore appear
 as narrow single-base marks; DELs and CPX items span the affected reference
 interval.</p>
 
 <p>
 The <i>name</i> field is the graph snarl ID (two node identifiers separated
 by strand arrows, e.g. <tt>&gt;2541&gt;2547</tt>). It is stable across the
 graph but has no meaning outside the CPC pangenome graph file.</p>
 
-<h2>Collapsing of multi-allelic sites</h2>
+<h2>Collapsing of Multi-allelic Sites</h2>
 
 <p>
 The source VCF was decomposed with <tt>bcftools norm -m -any</tt>, so each
 graph snarl appears as one VCF row per alternative allele (a single
 bubble in the graph may have 2-20+ alt paths). For this track we first
 compute the CPC-only allele count per alt, drop any alt that no CPC sample
 carries, then collapse all remaining alts sharing the same snarl ID into
 one track item:</p>
 <ul>
   <li><b>SV type</b> is the common class of all alts, or <tt>MIXED</tt> if
       they disagree (for example one alt is a DEL and another is an INS).</li>
   <li><b>SV length</b> is the maximum |len(ALT) − len(REF)| across alts.</li>
   <li><b>Allele count</b> is the sum of the per-alt allele counts.</li>
   <li><b>Number of alts</b> records how many alternative alleles were merged.</li>
 </ul>
 
 <h2>Filters</h2>
 
 <p>Available filters:</p>
 <ul>
-  <li><b>SV type</b> — any combination of INS, DEL, CPX, MIXED.</li>
-  <li><b>SV length</b> — maximum allele-length difference.</li>
+  <li><b>SV type</b>: any combination of INS, DEL, CPX, MIXED.</li>
+  <li><b>SV length</b>: maximum allele-length difference.</li>
   <li><b>Allele frequency</b> and <b>allele count</b> across the combined
       105 samples.</li>
 </ul>
 
 <h2>Methods</h2>
 
 <p>
 Gao et al. 2023 generated PacBio HiFi long reads (mean ~30.65x,
 Sequel II/IIe platforms) for 58 QC-passed samples representing 36
 minority Chinese ethnic groups, complemented with Illumina short reads
 and Oxford Nanopore ultralong reads. Haplotype-phased de novo assemblies
 were produced with
 <a href="https://github.com/chhylp123/hifiasm" target="_blank">hifiasm</a>
 v0.16.1 (116 high-quality haplotype assemblies retained after QC) and
 combined with 47 HPRC Phase 1 assemblies into a single variation graph