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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.
+ ++We are happy to announce release 3 of the Varaico Variants and +Varaico Variants (suppl) tracks for the human assemblies +hg38/GRCh38 and +hg19/GRCh37. This release contains a precision +improvement and an update of the underlying literature. The Varaico tracks are +created using literature mining, similar to +AVADA.
++The Varaico Variants (suppl) track contains variants extracted from supplementary +data files using similar methods as in the Varaico track. The previous (release 2) +Varaico data remains available in our +download archive. +For more information, please visit the Varaico website.
++Please note that the Genomenon Mastermind Variants track has been retired at +the data provider's request and is no longer updated or displayed.
++We would like to thank Johannes Birgmeier for generating and making the Varaico +data available. We would also like to thank Maximilian Haeussler and Gerardo Perez +for their efforts on this release.
+We are pleased to announce a new Non-canonical ORFs track collection on the human genome assembly (GRCh38/hg38), bringing together several public databases of open reading frames (ORFs) that fall outside annotated protein-coding genes. While the human genome has roughly 20,000 annotated protein-coding genes, ribosome profiling (Ribo-seq) and proteomics have revealed widespread translation of ORFs in regions long considered non-coding, including 5' and 3' UTRs, long non-coding RNAs, pseudogenes, and alternative reading frames of known genes.
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We would like to thank Mike Schatz, Evan Eichler, and all CoLoRSdb investigators for generating and making the data publicly available. We would also like to thank Karen Wang and Jairo Navarro Gonzalez for the creation and release of these tracks.
We are pleased to announce the release of the Developmental Disorders Genotype-to-Phenotype (DDG2P) track for -hg19 and -hg38. The DDG2P +hg19 and +hg38. The DDG2P track displays genes associated with severe developmental disorders. The track can be used to filter genomic sequencing data of people with genetic disorders to identify likely causative variants and accelerate diagnosis.
Items in this track are colored according to the likelihood that the gene-disease association is true: