88094bfcf5dbf48fbc8147f8b457b334e3025d9b
gperez2
  Tue Mar 10 16:43:41 2026 -0700
Updating the DNA Methylation superTrack track description and adding the yLineOnOff setting for the Human Methylation Atlas Signals track, refs #36826

diff --git src/hg/makeDb/trackDb/human/dnaMethylation.html src/hg/makeDb/trackDb/human/dnaMethylation.html
index c3983d5ed0b..615a4af7322 100644
--- src/hg/makeDb/trackDb/human/dnaMethylation.html
+++ src/hg/makeDb/trackDb/human/dnaMethylation.html
@@ -1,34 +1,36 @@
 <h2>Description</h2>
 <p>
 This container comprises various DNA Methylation tracks from different sources.
 Click on the specific subtracks for detailed descriptions of the data.</p>
 <p>
 The two tracks available are:
 </p>
 
 <ul>
   <li><b>Human Methylation Atlas Summary (hg38/hg19)</b> - Contains cell-type-specific marker regions
-  identified from the atlas, including uniquely unmethylated loci and putative enhancer
-  regions annotated with regulatory features.</li>
-  <li><b>Human Methylation Atlas Signals (hg38/hg19)</b> - Contains per-cell-type methylation signal
-  tracks (bigWig format) showing methylation beta values (0-1 scale) across the genome,
-  with merged tracks for each cell type and individual sample replicates.</li>
+  identified from the atlas, including all unmethylated regions, putative
+  enhancers derived from unmethylated regions, and the top 250 most specifically
+  unmethylated regions per cell type.</li>
+  <li><b>Human Methylation Atlas Signals (hg38/hg19)</b> - Contains per-cell-type
+  methylation signal tracks (bigWig format) showing methylation beta values (0-1 scale)
+  across the genome, with merged tracks combining all replicates per cell type and
+  replicate tracks for each individual sample.</li>
 </ul>
 
 <h2>References</h2>
 <p>
 Loyfer N, Magenheim J, Peretz A, Cann G, Bredno J, Klochendler A, Fox-Fisher I,
 Shabi-Porat S, Hecht M, Pelet T <em>et al</em>.
 <a href="https://www.nature.com/articles/s41586-022-05580-6" target="_blank">
 A DNA methylation atlas of normal human cell types</a>.
 <em>Nature</em>. 2023 Jan;613(7943):355-364.
 PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/36599988" target="_blank">36599988</a>
 </p>
 
 <p>
 Loyfer N, Rosenski J, Kaplan T.
 <a href="https://doi.org/10.26508/lsa.202503514" target="_blank">
 wgbstools: a computational suite for DNA methylation sequencing data analysis</a>.
 <em>Life Sci Alliance</em>. 2026 Apr;9(4):e202503514.
 PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/41611450" target="_blank">41611450</a>
 </p>