d9ed0bc0c700980005dd57943ac7e176bf8470b0
gperez2
  Tue Nov 5 11:15:07 2024 -0800
Updating the hs1 track link for difficult regions from GIAB tracks, refs #32715

diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html
index eaa7a58..b9f1602 100755
--- src/hg/htdocs/goldenPath/newsarch.html
+++ src/hg/htdocs/goldenPath/newsarch.html
@@ -62,31 +62,31 @@
 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>
 
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 <h2>Nov. 4, 2024 &nbsp;&nbsp; GIAB Problematic Regions tracks for human (hg38 and hs1)</h2>
 <p>
 We are pleased to announce the release of the
 <a href="https://www.nist.gov/programs-projects/genome-bottle" target="_blank"
  >Genome in a Bottle (GIAB)</a> Problematic Regions tracks for the
 <a href="/cgi-bin/hgTrackUi?db=hg38&position=default&g=problematicGIAB" target="_blank">hg38</a>
 and
-<a href="/cgi-bin/hgTrackUi?db=hub_25071_hs1&position=default&g=hub_25071_problematic"
+<a href="/cgi-bin/hgTrackUi?db=hub_3671779_hs1&position=default&g=hub_3671779_problematic"
 target="_blank">hs1</a> human assemblies. The tracks provide stratifications of the genome to
 evaluate variant calls in complex regions and it is designed for use with Global Alliance for
 Genomic Health (GA4GH) benchmarking tools like
 <a href="https://github.com/Illumina/hap.py" target="_blank">hap.py</a>. It includes regions with
 low complexity, segmental duplications, functional regions, and difficult-to-sequence areas. The
 GIAB Problematic Regions composite track consists of four subtracks:</p>
 <ul>
   <li><b>All difficult regions</b> &ndash; Genome In a Bottle: all difficult regions
   <li><b>LowMap+SegDup</b> &ndash; Genome In a Bottle: lowMap+SegDup regions
   <li><b>Not difficult regions</b> &ndash; Genome In a Bottle: not difficult regions 
   <li><b>Not lowMap+SegDup</b> &ndash; Genome In a Bottle: not lowMap+SegDup mapping regions
 </ul>
 <p>
 We would like to thank the Genome in a Bottle Consortium, Telomere-to-Telomere Consortium and NIST
 for providing this data. We would also like to thank Megna Chalamala, Jairo Navarro, and Gerardo