9ea337e7d1dabceebd7bc4ecbc2c3a11809116cf
gperez2
  Tue Apr 11 09:59:55 2023 -0700
Fixing a typo, refs #29954

diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html
index bab4865..b100ed4 100755
--- src/hg/htdocs/goldenPath/newsarch.html
+++ src/hg/htdocs/goldenPath/newsarch.html
@@ -75,31 +75,31 @@
 >Cross Tissue Nuclei</a>,
 allows cells to be grouped together and faceted on up to 4 categories: tissue, cell class, cell
 subclass, and cell type. The second track,
 <a href="/cgi-bin/hgTrackUi?db=hg38&g=crossTissueMapsFullDetails" target="_blank"
 >Cross Tissue Details</a>,
 allows cells to be grouped together and faceted on up to 7 categories: tissue, cell class, cell
 subclass, cell type, granular cell type, sex, and donor. The third track,
 <a href="/cgi-bin/hgTrackUi?db=hg38&g=gtexImmuneAtlasFullDetails" target="_blank"
 >GTEx Immune Atlas</a>,
 allows cells to be grouped together and faceted on up to 5 categories: tissue, cell type, cell
 class, sex, and donor.
 <p>
 This track collection shows data from
 <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9383269/" target="_blank">
 Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function</a>.
-The dataset dataset covers ~200,000 single nuclei from a total of 16 human donors across 25 samples,
+The dataset covers ~200,000 single nuclei from a total of 16 human donors across 25 samples,
 using 4 different sample preparation protocols followed by droplet based single-cell RNA-seq. The
 samples were obtained from frozen tissue as part of the
 <a href="https://commonfund.nih.gov/GTEx/index" target="_blank">
 Genotype-Tissue Expression (GTEx) project</a>. Samples were taken from the esophagus, skeletal
 muscle, heart, lung, prostate, breast, and skin. The dataset includes 43 broad cell classes, some
 specific to certain tissues and some shared across all tissue types. Please see the
 <a href="https://gtexportal.org/home/singleCellOverviewPage" target="_blank">GTEx portal</a>
 for further interactive displays and additional data.</p>
 <p>
 We would like to thank the GTEx investigators, analysts, and portal team for providing this data.
 We would also like to thank Jim Kent, Brittney Wick, Chris Lee, and Gerardo Perez for integrating
 the data into the UCSC Genome Browser.
 </p>