+You can sign-up to get these announcements via our Genome-announce email list. We send around one short announcement email every two weeks.
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.
+ + ++We are pleased to announce the addition of the PanelApp Australia tracks for the human assemblies +hg38 and +hg19, +available in the PanelApp composite track. The PanelApp track shows expert, crowdsourced diagnostic +disease panels among genes, copy-number variants (CNV), and short tandem repeats (STR). PanelApp +Australia was originally launched by +Australian Genomics in 2019 in collaboration with +Genomics England and is +currently supported by Genomics Australia. The PanelApp Australia track contains data that differs +from the Genomics England PanelApp; more details are available on the +track description page. +
+We have also updated the mouse hover for the Genomics England PanelApp track, which now shows the +gene name, associated panel, mode of inheritance (if known), related phenotypes, and confidence +level.
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++We want to thank Jean-Madeleine for this data request and feedback, as well as Zornitza Stark from +Australia PanelApp for providing guidance. We would also like to thank Beagan Nguy, Lou Nassar, and +Gerardo Perez of the Genome Browser team for the development and release of this track.
+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.