+We have just added the Drug Resistance +track to the SARS-CoV-2 (COVID-19) genome. This track shows 5 amino acid variants +documented to confer drug treatment resistance to Remdesivir. Try it yourself:
++https://genome.ucsc.edu/s/view/DrugResistance +
+We would like to thank data contributor Paul Gordon, for making the data +accessible on his +University of Calgary website.
+ +We are pleased to announce a new paper about our Recommended Tracks Set feature, available on GRCh37/hg19, which collects related clinical tracks to help investigate variants. The paper, Variant interpretation: UCSC Genome Browser Recommended Track Sets, covers how this new feature can facilitate the interpretation of variants for clinicians.
Track Sets allow a user to quickly swap out the on-screen annotations they may be looking at for a different set of tracks relevant to specific medical scenarios: investigating single nucleotide variants in coding regions (Clinical SNVs), structural copy number variants (Clinical CNVs), and functional aspects of non-coding variants (Non-coding SNVs).
These tracks represent genome-wide predicted binding sites for transcription factor binding profiles in the JASPAR CORE collection. JASPAR CORE is an open-source database containing a curated, non-redundant set of binding profiles derived from published collections of experimentally defined transcription factor binding sites for eukaryotes.
The JASPAR database is a joint effort between several labs (please see the latest JASPAR paper). Binding site predictions and UCSC tracks were computed by the Wasserman Lab. We would like to thank Daniel Schmelter and Jairo Navarro at UCSC for building and testing these tracks.
+ + +We are pleased to announce the third blog post in a three-part series about our new GenArk Assembly Hubs. This final installment provides some explanation of the technical details behind the process. The first post was about accessing the data, and the second post shared examples of using the hub's data with BLAT, PCR, and External Tools.
- - -We are pleased to announce a help page specific to building filters on Track Hubs. Track Hubs are web-accessible directories of genomic data that can be viewed on the UCSC Genome Browser. Track Hubs allow a lab to share and host all their genomic data (BAMs, VCFs, ect.) via a single Genome Browser link. Such links can load multiple hubs and even be combined with a position parameter to easily reference laboratory data around a gene of interest, see examples in a recent blog bost about sharing data with URLs.
The Track Hub Filters Quick Start Guide provides example hubs employing new extensive filter settings available for Track Hubs.