a0c54bf7aecca671af8fa6063e129e7524302ca3
gperez2
  Tue Feb 3 09:23:29 2026 -0800
Code review edits, refs #37054

diff --git src/hg/makeDb/trackDb/recount3.html src/hg/makeDb/trackDb/recount3.html
index 312fd8b03af..acf9f49271c 100644
--- src/hg/makeDb/trackDb/recount3.html
+++ src/hg/makeDb/trackDb/recount3.html
@@ -41,31 +41,30 @@
 <p>
 Introns can be filtered by:
 </p>
 <ul>
   <li><b>Intron size</b> - Length of the intron. The default range is 30 to 100,000 bases.</li>
   <li><b>Split read count</b> - Number of split reads supporting the intron. The default is a
     minimum of 10,000 reads.</li>
   <li><b>Splice junction motif</b> - The motif is specified in the form <em>GT/AG</em>, with
     canonical motifs in uppercase and unknown motifs in lowercase.
     The default is no filtering.</li>
   <li><b>Strand</b> - Filter by positive strand (&apos;+&apos;),
     negative strand (&apos;-&apos;), and/or
     unknown strand (&apos;.&apos;).  The default is no strand filtering (&apos;all&apos;).
   </li>
 </ul>
-</p>
 
 <h2>Methods</h2>
 <p>
 A distributed processing system for RNA-seq data called Monorail was developed. Using Monorail,
 recount3 processed and summarized 316,443 human and 416,803 mouse RNA-seq run accessions collected
 from the Sequence Read Archive (SRA), with the human runs including large-scale consortia such as
 GTEx v8 and The Cancer Genome Atlas (TCGA).
 </p>
 <p>
 Junction files were converted to BED format. For grayscaling total read count was log10
 transformed and multiplied by 10 to get a score between 0 and 225, which can be found
 in the BED score field.
 </p>
 
 <h2>Data Access</h2>