705f2336e85d630113f716b97c66008df31584f2 lrnassar Fri Aug 8 14:23:40 2025 -0700 Staging news release for CLS long transcripts track, refs #35122 diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html index c95ef81d461..1de6f648ab2 100755 --- src/hg/htdocs/goldenPath/newsarch.html +++ src/hg/htdocs/goldenPath/newsarch.html @@ -52,30 +52,59 @@
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Smaller software changes are not announced here. A summary of the three-weekly release changes can be found here. For the full list of our daily code changes head to our GitHub page. Lastly, see our credits page for acknowledgments of the data we host.
+ ++New Capture long-seq (CLS) long-read lncRNAs tracks are available for +hg38 and +mm10. +These tracks represent the results of targeted long-read RNA sequencing aimed at identifying lowly expressed lncRNAs. +The data is comprised of the capture target regions, the reads, and transcript models organized in the following way:
+
++See the track description page +and the GENCODE CLS Project site to learn more. Observant users may also +notice that the mRNA and EST track group has now been renamed to RNA and Transcriptome for many species including +human and mouse. This change updates the track group to be more inclusive of new techology and data types.
++We would like to thank the GENCODE consortium +for providing these data. We would also like to thank Mark Diekhans and Lou Nassar for the development and release of these tracks.
+We are excited to announce the release of the PubTator Variants track for human assemblies, hg38 and hg19. These tracks were created using PubTator3 data and are freely accessible to the research community. PubTator3 is a web-based system that offers a comprehensive set of features and tools that allow researchers to explore biomedical literature for knowledge discovery. It uses text mining and AI techniques to annotate and unify bio-entities and their corresponding relations for semantic and relation searches.
We would like to thank the PubTator 3.0 authors for generating and making the data publically available. We would also like to thank Max Haeussler and Johannes Birgmeier for creating the tracks, and Jairo Navarro the release of the tracks.