41e0c6eca3423830e7bb7601fc1a3d45c3deb72d
gperez2
  Tue Mar 26 12:32:58 2024 -0700
Fixing typos,  refs #33084 #32916

diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html
index d90f2d5..bbf2309 100755
--- src/hg/htdocs/goldenPath/newsarch.html
+++ src/hg/htdocs/goldenPath/newsarch.html
@@ -84,32 +84,32 @@
     level for three different types of variation: missense, synonymous, and predicted loss of
     function.</li>
   <li><b>Transcript Missense Constraint track</b>: The missense constraint tracks are built
     similarly to the LoF constraint tracks, however the items displayed are based on missense Z
     scores. All items are colored black, and individual Z scores can be seen on mouseover.
 </ol>
 <p>
 The GRCh37/hg19 Exome Variants v2.1.1 and the hg38/GRCh38 Genome Variants v3.1.1 tracks now have a
 non-cancer filter that allows the option to exclude/include variants from samples of individuals
 who were not ascertained for having cancer in a cancer study. These non-cancer subsets follow the
 new guidelines for clinical variant testing of BRCA1 and BRCA2 genes and are used for the
 assessment of breast cancer patients.</p>
 <p>
 We would like to thank the <a href="https://gnomad.broadinstitute.org/about" target="_blank">Genome
 Aggregation Database Consortium</a> for making these data available. We would also like to thank
-Chris Lee, Ana Benet-Pagès, Gerardo Perez, and Jairo Navarro for the creation and release of thee
-tracks.</p>
+Chris Lee, Ana Benet-Pag&#232;s, Gerardo Perez, and Jairo Navarro for the creation and release of
+these tracks.</p>
 
 <a name="030724"></a>
 <h2>Mar. 07, 2024 &nbsp;&nbsp; New Prediction Scores super track and BayesDel track for hg19</h2>
 <p>
 We are happy to announce the new Human Prediction Scores super track for the
 <a href="/cgi-bin/hgTrackUi?db=hg19&g=predictionScoresSuper">GRCh37/hg19</a> assembly. This super
 track currently includes the <a href="/cgi-bin/hgTrackUi?db=hg19&g=bayesDel">BayesDel track</a>,
 which can be used for clinical variant classification research.
 <a href="https://fenglab.chpc.utah.edu/BayesDel/BayesDel.html" target="_blank">BayesDel</a> is a
 deleteriousness meta-score for coding and non-coding variants, single nucleotide variants, and small
 insertion/deletions. The range of the score is from -1.29334 to 0.75731. The higher the score, the
 more likely the variant is pathogenic. There are eight subtracks for the BayesDel track: four
 include pre-computed MaxAF-integrated BayesDel scores for missense variants, one for each base.
 The other four are of the same format, but scores are not MaxAF-integrated.</p>
 <p>