Hello Everyone,
We are happy to announce the release of the enGenome VarChat track for the hg38/GRCh38 and hg19/GRCh37 human assemblies, available in the Variants in Papers superTrack. VarChat is an open platform that leverages the power of generative artificial intelligence to support the genomic variant interpretation process by searching the available scientific literature for each variant and condensing it into a brief yet informative text.
The track shows how many papers the variant was observed in, its gene, its HGVS nomenclature, and dbSNP rsID. Variants are color-coded based on the level of literature support, as shown in the table below:
Color | Level of literature support |
---|---|
High: at least 25 papers mention the variant | |
Medium: between 10 and 24 papers mention the variant | |
Low: less than 10 papers mention the variant |
We would like to thank VarChat for providing the data to UCSC. We would also like to thank Lou Nassar, Max Haeussler, and Gerardo Perez for their efforts on this release.