72ed3a859583339f4178ff91515f758c59aaba2d
gperez2
  Wed Mar 29 16:54:52 2023 -0700
Announcing the release of the updated DGV tracks for hg19/hg38, refs #25566

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 </div>
 
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 <p>Smaller software changes are not announced here.  A summary of the three-weekly release changes can be 
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 target=_blank>our GitHub page</a>.</p>
 
 <!-- ============= 2023 archived news ============= -->
 <a name="2023"></a>
 
+<a name="032923"></a>
+<h2>Mar. 29, 2023 &nbsp;&nbsp; Updated DGV tracks for hg19/hg38</h2>
+<p>
+We are pleased to announce an update to the DGV tracks for the
+<a href="/cgi-bin/hgTrackUi?db=hg38&g=dgvPlus" target="_blank">hg38</a> and
+<a href="/cgi-bin/hgTrackUi?db=hg19&g=dgvPlus" target="_blank">hg19</a> human assemblies. The
+tracks display copy number variants (CNVs), insertions/deletions (InDels), inversions and inversion
+breakpoints annotated by the
+<a href="http://dgv.tcag.ca/dgv/app/home" target="_blank">Database of Genomic Variants</a> (DGV),
+which contains genomic variations observed in healthy individuals. For the hg38 update, the
+Structural Variant Regions track now has 825,343 total variants and the Supporting Structural
+Variants track now has 7,270,185 total variants. For the hg19 update, Structural Variant Regions track now has
+826,661 total variants and the Supporting Structural Variants track now has 7,346,512 total variants. More
+information on these tracks can be found on the
+<a href="/cgi-bin/hgTrackUi?db=hg38&g=dgvPlus#TRACK_HTML" target="_blank">track description page</a>.
+</p>
+<p>
+We would like to thank the Database of Genomic Variants for making these data available. We would also
+like to thank Jairo Navarro, Max Haeussler, Anna Benet-Pages, and Gerardo Perez for their efforts
+on this release.
+</p>
+
+
 <a name="030823"></a>
 <h2>Mar. 8, 2023 &nbsp;&nbsp; TOGA Gene Prediction tracks for 41 assemblies</h2>
 <p>
 We are happy to announce the release of the <b>TOGA</b> (<b>T</b>ool to infer <b>O</b>rthologs from
 <b>G</b>enome <b>A</b>lignments) gene prediction tracks for 41 assemblies. TOGA is a homology-based
 method that integrates gene annotation, inferring orthologs and classifying genes as intact or lost.
 The full list of assemblies containing the TOGA gene prediction tracks is displayed below:
 </p>
 <p>
 <div class="container">
   <div class="row">
   <div class="col-sm-4">
     <ul>
     <li>Brown kiwi <a href="/cgi-bin/hgTrackUi?db=aptMan1&g=HLTOGAannotvGalGal6v1&position=default"
     target="_blank">(aptMan1)</a></li>