cae3bcce4e68c65d313241df56cae803d584c7d3
dschmelt
  Thu Nov 18 10:56:59 2021 -0800
Fixing typos and adding additional credit refs #14319

diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html
index 74ca043..faccc83 100755
--- src/hg/htdocs/goldenPath/newsarch.html
+++ src/hg/htdocs/goldenPath/newsarch.html
@@ -42,47 +42,47 @@
         <li><a href="#2005">2005 News</a></li>
         <li><a href="#2004">2004 News</a></li>
         <li><a href="#2003">2003 News</a></li>
         <li><a href="#2002">2002 News</a></li>
         <li><a href="#2001">2001 News</a></li>
       </ul>
     </div>
   </div> 
 </div>
 
 <!-- ============= 2021 archived news ============= -->
 <a name="111821"></a>
 <h2>Nov. 18, 2021 &nbsp;&nbsp; New Clinical Rare Disease track - Orphadata</h2>
 <p>
 We are happy to share another clinical resource for genetic disease correlation, 
-<a href="/cgi-bin/hgTrackUi?db=hg19&g=orphadata">the Orphadata track</a> from 
+<a href="/cgi-bin/hgTrackUi?db=hg38&g=orphadata">the Orphadata track</a> from 
 <a target="_blank" href="https://www.orpha.net/">the Orphanet consortium</a>. This 
 track shows nearly 8000 genes, on hg19 and hg38, 
 annotated with human disorders and epidemiological information 
 including Human Phenotype Ontology (HPO) disorder name, association type, 
-modes of inheritance, age of onset, and age of death. This data 
+modes of inheritance, age of first symptoms, and disease prevalence. This data 
 is gathered by a consortium of more than 40 countries, focusing 
 on rare diseases. This track includes gene-disease display filters
-based on association type, inheretance mode, and age of inheritance.
+based on association type, inheritance mode, and age of symptom onset.
 </p>
 <p>
 Orphadata can be found on the Browser in the Phenotype and Literature 
 track group, natively interfacing with other UCSC Genome Browser 
 tools such as the JSON API, Table Browser, and Data Integrator.
 We would like to thank the Orphanet team for providing this data. We
-would also like to thank Chris Lee and Daniel Schmelter for the creation 
-and release of these tracks.
+would also like to thank the UCSC affiliates Chris Lee, Tiana Pereira, 
+and Daniel Schmelter for the creation and release of these tracks.
 </p>
 
 <a name="111721"></a>
 <h2>Nov. 17, 2021 &nbsp;&nbsp; Releasing A New Genome Browser Track Group: Single-Cell RNA-seq</h2>
 <p>
 We are excited to release a new Genome Browser track group with single-cell
 RNA-seq (scRNA-seq) datasets for the hg38 assembly. Data generated by scRNA-seq
 allows us to study the heterogeneity of cells in organs, explore gene expression at
 a cellular level, and track cellular states in both development and disease. 
 
 <p class ="text-center">
     <img class="text-center" src="../images/newsArchImages/scRNAseq.png" width="70%"></p>
 <p>
 We are starting with 14 scRNA-seq tracks covering different major organs of the body.
 Each new scRNA-seq track contains anywhere from 2-19 individual mRNA expression tracks in