754e533ae2a773365fbd26d1db114d079659a001
dschmelt
  Thu Nov 18 14:26:09 2021 -0800
Last edits before announcing orphadata refs #14319

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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=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 first symptoms, and disease prevalence. This data 
-is gathered by a consortium of more than 40 countries, focusing 
+modes of inheritance, age of first symptoms, and disease prevalence (if available). 
+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, 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 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>