e2867e617ae5d61bde6bf4cef1914825244ba645
dschmelt
  Thu Nov 18 09:54:21 2021 -0800
Announcing the Orphadata tracks refs #14319

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       </ul>
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     <div class="col-sm-3">
       <ul>
         <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>
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 <!-- ============= 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 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 
+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.
+</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.
+</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 
-<a target="_blank" href="https://genome.ucsc.edu/goldenPath/help/barChart.html">barChart</a>
+<a target="_blank" href="/goldenPath/help/barChart.html">barChart</a>
 format. By default, tracks display gene expression per individual cell type
 annotation and are colored according to cell class:</p>
 <table cellpadding="2">
   <thead>
   <tr>
     <th style="border-bottom: 2px solid;">Color</th>
     <th style="border-bottom: 2px solid;">Cell Classification</th>
   </tr>
   </thead>
   <tbody>
     <tr>
       <td style="background-color: #f0c000; padding-left: 20px"></td>
       <td>neural</td>
     </tr>
     <tr>