f279f92f74cafe040582a1bc8fe935e947f636a9
gperez2
  Fri Mar 13 18:23:40 2026 -0700
Announcing the Human Methylation Atlas Summary and Signals tracks for hg38 and hg19, refs #36826

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 <p>You can sign-up to get these announcements via our 
 <a target=_blank href="https://groups.google.com/a/soe.ucsc.edu/g/genome-announce?hl=en">Genome-announce</a>
 email list. We send around one short announcement email every two weeks.</p>
 
 <p>Smaller software changes are not announced here.  A summary of the three-weekly release changes can be 
 found <a target=_blank href="https://genecats.gi.ucsc.edu/builds/versions.html">here</a>. 
 For the full list of our daily code changes head to our <a
 href="https://github.com/ucscGenomeBrowser/kent/commits/master"
 target=_blank>GitHub page</a>. Lastly, see our <a href="credits.html" target="_blank">
 credits page</a> for acknowledgments of the data we host.</p>
 
 <!-- ============= 2025 archived news ============= -->
 <a name="2026"></a>
 
+<a name="031626"></a>
+<h2>Mar. 16, 2026 &nbsp;&nbsp; New DNA Methylation track: Human Methylation Atlas Summary and Signals tracks</h2>
+<p>
+We are excited to announce the release of the
+<a href="/cgi-bin/hgTrackUi?db=hg38&g=humanMethylationAtlasSummary&position=default" target="_blank"
+>Human Methylation Atlas Summary</a> and
+<a href="/cgi-bin/hgTrackUi?db=hg38&g=humanMethylationAtlasSignals&position=default"
+target="_blank">Signals</a> tracks for hg38 and hg19, available in the
+<a href="/cgi-bin/hgTrackUi?db=hg38&g=dnaMethylation&position=default" target="_blank"
+>DNA Methylation superTrack</a>. The Human Methylation Atlas tracks display genome-wide DNA
+methylation profiles from deep whole-genome bisulfite sequencing (WGBS) of 39 primary human cell
+types sorted from 205 healthy tissue samples.
+</p>
+<div class="text-center">
+  <a href="https://genome.ucsc.edu/s/QAtester/humanMethylationAtlas" target="_blank">
+  <img src="../images/newsArchImages/humanMethylationAtlas.png" alt="Example of cell-type specific
+  unmethylated regions and methylation signals (hg38, chr2:3,233,601-3,284,760) for blood,
+  neuronal, pancreatic, and thyroid cell types" width='60%'></a>
+</div>
+<p>
+The <a href="/cgi-bin/hgTrackUi?db=hg38&g=humanMethylationAtlasSummary&position=default"
+target="_blank">Human Methylation Atlas Summary track</a> consists of three subtracks:
+</p>
+<ul>
+  <li><b>All Unmethylated Regions</b> - unmethylated genomic regions for each of the 39 cell
+  types.</li>
+  <li><b>Putative Enhancers from Unmethylated Regions</b> - putative enhancers derived from
+  unmethylated regions for 32 of the 39 cell types.
+  </li>
+  <li><b>Top 250 Unmethylated Regions per Cell Type</b> - the top 250 most specifically unmethylated
+  regions in each of the 39 cell types.
+  </li>
+</ul>
+<p>
+The <a href="/cgi-bin/hgTrackUi?db=hg38&g=humanMethylationAtlasSignals&position=default"
+target="_blank">Human Methylation Atlas Signals track</a> displays per-cell-type methylation beta
+values (0-1 scale) across the genome, with <b>merged</b> tracks combining all replicates per cell
+type and <b>replicate</b> tracks for each individual sample.
+</p>
+<p>
+We would like to thank the Dor, Kaplan, and Glaser laboratories at the Hebrew University
+of Jerusalem and collaborating institutions for generating and providing these data.
+</p>
+
+
 <a name="031326"></a>
 <h2>Mar. 13, 2026 &nbsp;&nbsp; gnomAD v4 Exome and v3 Genome coverage tracks for hg38</h2>
 <p>
 We are pleased to announce the release of two new coverage tracks from the
 <a href="https://gnomad.broadinstitute.org/" target="_blank">Genome Aggregation Database
 (gnomAD)</a> on the human GRCh38/hg38 assembly. These tracks are part of the
 <a href="/cgi-bin/hgTrackUi?db=hg38&g=gnomadVariants">Genome Aggregation Database (gnomAD)</a>
 track collection.
 </p>
 
 <p>
 The <a href="/cgi-bin/hgTrackUi?db=hg38&g=gnomad4ExomeCoverage">gnomAD v4 Exome Coverage</a>
 track displays per-base sequencing coverage statistics derived from the gnomAD v4.0
 exome callset. Coverage was computed across all gnomAD v4 exome samples using gVCFs
 produced with a 3-bin blocking scheme based on reference genotype quality