c72fe34696163a8421925b26fd55e6829e098ec4
dschmelt
  Mon Feb 28 16:03:58 2022 -0800
Removing comma for CR refs #29022

diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html
index 155d05c..b2e8ee7 100755
--- src/hg/htdocs/goldenPath/newsarch.html
+++ src/hg/htdocs/goldenPath/newsarch.html
@@ -67,31 +67,31 @@
 Ensembl will continue to develop this single transcript gene set and provide comprehensive sets of
 alternate transcripts in the RefSeq-All and the GENCODE tracks.</p>
 <p>
 We would like to thank the NCBI and Ensembl-GENCODE collaboration for the MANE project. We would
 also like to thank Brian Raney and Jairo Navarro for the development and release of this track.</p>
 
 <a name="022522"></a>
 <h2>Feb, 25, 2022 &nbsp;&nbsp; New COVID track on Drug Resistance Mutations</h2>
 <p>
 We have just added the <a href="/cgi-bin/hgTrackUi?db=wuhCor1&g=resist">Drug Resistance</a>
 track to the SARS-CoV-2 (COVID-19) genome. This track shows 5 amino acid variants 
 documented to confer drug treatment resistance to Remdesivir. Try it yourself:</p>
 <p>
 <a href=" https://genome.ucsc.edu/s/view/DrugResistance">https://genome.ucsc.edu/s/view/DrugResistance</a>
 </p>
-<p>We would like to thank data contributor Paul Gordon, for making the data
+<p>We would like to thank data contributor Paul Gordon for making the data
 accessible on his <a href="https://people.ucalgary.ca/~gordonp/remdesivir_failure-RdRp.html">
 University of Calgary website</a>.</p>
 
 
 <a name="022222"></a>
 <h2>Feb. 22, 2022 &nbsp;&nbsp; Recommended Track Sets paper</h2>
 <p>
 We are pleased to announce a new paper about our Recommended Tracks Set feature, available
 on GRCh37/hg19, which collects related clinical tracks to help investigate variants.
 The paper, <a href="https://doi.org/10.1002/humu.24335"
 target="_blank">Variant interpretation: UCSC Genome Browser Recommended Track Sets</a>,
 covers how this new feature can facilitate the interpretation of variants for clinicians.</p>
 <p>
 Track Sets allow a user to quickly swap out the on-screen annotations they may be looking at
 for a different set of tracks relevant to specific medical scenarios: investigating single