7d1d116b2ea84e0d292a09ed45a95a26b93befa3
dschmelt
  Tue Mar 9 15:43:37 2021 -0800
Typo fix for CR #27153

diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html
index 109db5a..c578982 100755
--- src/hg/htdocs/goldenPath/newsarch.html
+++ src/hg/htdocs/goldenPath/newsarch.html
@@ -1450,31 +1450,31 @@
 <p>
 We are happy to share a new data set, 1000 Genomes Trios on hg38, and a visualization tool for 
 displaying chromosome phased VCFs and family inheritance patterns. This track shows phased 
 variants from seven trios of parents and child across different regions. 
 You can infer which parent passed on which variant and identify
 possible de-Novo variants. The data was produced by <a
 href="https://www.internationalgenome.org/" target="_blank">International Genome Sample
 Resource (IGSR)</a> from sequence data generated by the 
 <a href="https://www.internationalgenome.org/about" target="_blank">1000 Genomes Project</a>.
 For more information on the 1000 Genomes Trios track and the VCF Trio format, please visit 
 the track description page and VCF help page:
 </p>
 <ul>
 <li><a href="http://genome.ucsc.edu/cgi-bin/hgTrackUi?db=hg38&g=tgpTrios">
 1000 Genomes Trios on GRCh38/hg38</a></li>
-<li><a href="<li><a href="../goldenPath/help/vcf.html#trio">VCF track format</a></li>
+<li><a href="help/vcf.html#trio">VCF track format</a></li>
 </ul>
 
 <div class="text-center">
 <a href="../../cgi-bin/hgTracks?hgS_doOtherUser=submit&hgS_otherUserName=dschmelt&hgS_otherUserSessionName=tgpTrios">
 <img width="80%" height="80%" 
 src="../../images/trioExample.png" alt="3 VCF Phased Trio tracks along with the GENCODE 
 v32 genes from the Human/GRCh38 assembly. Each of two diploid haplotypes for each individual 
 in a trio is drawn as a black lane, with snps as vertical ticks on the haplotype they fall on. 
 Ticks are shaded blue,red,green or black according to their predicted functional effect."></a>
 </div>
 
 <p>
 We would like to thank the IGSR and 1000 Genomes Project teams and contributors for
 doing the research and making their data accessible. We would also like to thank Chris Lee,
 Daniel Schmelter, and Angie Hinrichs for designing, developing, and releasing this track.</p>