b9c4a07036e2828851f7e8558c267d7ce86823f9
ccpowell
  Wed Oct 16 09:41:52 2019 -0700
Editing the newarch.html for the GENCODE Genes release, refs #24087

diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html
index 068b37e..beda37a 100755
--- src/hg/htdocs/goldenPath/newsarch.html
+++ src/hg/htdocs/goldenPath/newsarch.html
@@ -39,58 +39,61 @@
     </div>
     <div class="col-sm-3">
       <ul>
         <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>
 
 <!-- ============= 2019 archived news ============= -->
 <a name="2019"></a>
 
-<a name="101519"></a>
-<h2>Oct. 15, 2019 &nbsp;&nbsp; New GENCODE gene tracks for human (V32) and mouse (VM23)</h2>
+<a name="101619"></a>
+<h2>Oct. 16, 2019 &nbsp;&nbsp; New GENCODE Genes tracks for human (V32) and mouse (VM23)</h2>
 <p>
-We are pleased to announce the release of the new GENCODE Gene annotation track for both
+We are pleased to announce the release of updated GENCODE Genes annotation tracks for both the
 <a href="../cgi-bin/hgTracks?db=hg38&g=knownGene" target="_blank">hg38/GRCh37</a> and 
 <a href="../cgi-bin/hgTracks?db=mm10&g=knownGene" target="_blank">mm10/GRCm38</a> assemblies
 corresponding to the
 <a href="http://www.ensembl.info/2019/09/26/ensembl-98-has-been-released/" target="_blank">
 Ensembl 98</a> release.</p>
 
 <p>
 The following table provides statistics for the 
 <a href="../cgi-bin/hgTrackUi?db=hg38&g=knownGene" target="_blank">human V32</a> and 
 <a href="../cgi-bin/hgTrackUi?db=mm10&g=knownGene" target="_blank">mouse VM23</a> releases derived
 from the GTF files that contains annotations only on the main chromosomes. More information on how
-they were generated can be found in the
+these statistics were generated can be found on the
 <a href="https://www.gencodegenes.org/" target="_blank">GENCODE site</a>.
-<table>
+
+<div align="center">
+<table class="stdTbl">
  <tr><th>Genes &amp; transcripts</th><th>human V32 Release stats</th><th>mouse V23 Release stats</th></tr>
- <tr><th>Protein-coding Genes</th><td>19,965</td><td>21,849</td></tr>
- <tr><th>Protein-coding transcripts</th><td>83,986</td><td>59,188</td></tr>
- <tr><th>Long non-coding RNA genes</th><td>17,910</td><td>13,201</td></tr>
- <tr><th>Small non-coding RNA genes</th><td>7,576</td><td>6,108</td></tr>
-</table>
+ <tr><th>Protein-coding Genes</th><td style="text-align:center">19,965</td><td style="text-align:center">21,849</td></tr>
+ <tr><th>Protein-coding transcripts</th><td style="text-align:center">83,986</td><td style="text-align:center">59,188</td></tr>
+ <tr><th>Long non-coding RNA genes</th><td style="text-align:center">17,910</td><td style="text-align:center">13,201</td></tr>
+ <tr><th>Small non-coding RNA genes</th><td style="text-align:center">7,576</td><td style="text-align:center">6,108</td></tr>
+ <tr><th>Psuedogenes</th><td style="text-align:center">14,749</td><td style="text-align:center">13,681</td></tr>
+</table></div>
 
 <p>
 More details about the new GENCODE track can be found on the resepctive GENCODE description pages.
-We would like to thank the GENCODE team and thank Brian Raney, Mark Diekhans, Jairo Navarro and
+We would like to thank the GENCODE team and thank Brian Raney, Mark Diekhans, Jairo Navarro, and
 Conner Powell at UCSC for their work on this track.</p>
 
 <a name="101119"></a>
 <h2>Oct. 11, 2019 &nbsp;&nbsp; New "group auto-scale" option</h2>
 <p>
 A new &quot;group auto-scale&quot; option is now available for signal tracks
 collected together in composites. The original auto-scale setting, which is still
 available, acts to auto-scale each track individually inside a composite group.
 With the new &quot;group auto-scale&quot; setting, all of the tracks within the
 composite will scale to the track with the highest auto-scale value viewed in the region.</p>
 <p>
 For example, below is a side-by-side image of two views of the same data from
 a selection of cell lines within a composite of related RNA-seq experiments. On
 the left is the original &quot;auto-scale to data view&quot; setting, where each track is
 auto-scaled to appear at each track's highest value. And on the right is