af7a8303a81968ad6191744d5df9c343433336e6 jnavarr5 Fri Jan 8 15:03:03 2021 -0800 Updating the 'last updated' date to today. Adding the COVID Reference book to the list of 'Related publications and data resources', refs #26761 diff --git src/hg/htdocs/covid19.html src/hg/htdocs/covid19.html index bde690a..cde92c3 100755 --- src/hg/htdocs/covid19.html +++ src/hg/htdocs/covid19.html @@ -1,315 +1,318 @@

COVID-19 Pandemic Resources at UCSC -Updated: November 13, 2020

+Updated: January 08, 2020

The SARS-CoV-2 coronavirus emerged in December 2019 as a novel human pathogen causing a severe acute respiratory syndrome (COVID-19). The disease spread rapidly worldwide and was declared a pandemic by the World Health Organization on March 11, 2020.

Genome sequencing of thousands of viral samples has helped researchers study mechanisms of infection, transmission and response of the human immune system. Since the beginning of SARS-CoV-2 circulation in humans, the viral genome has been accummulating mutations. Compared to other RNA viruses its mutation rate is low, but enough variants are known to determine how samples cluster into groups and how they are related (see COVID-19 transmission map).

We at the UC Santa Cruz Genomics Institute are responding to the urgency of supporting biomedical research aimed at developing treatments and a vaccine for this devastating illness by fast-tracking visualization of genome sequences and analyses in the UCSC Genome Browser for SARS-Cov-2. Moreover, we are incorporating relevant biomedical datasets such as single-cell lung gene expression into the UCSC Cell Browser, and are creating data tracks of COVID-19 annotations in our Human Genome Browsers as datasets become publicly available. These annotations can further understanding of the human genetic determinants of infection susceptibility, disease severity, and outcomes.

A manuscript describing The UCSC SARS-CoV-2 Genome Browser, was published in the September 9 issue of Nature Genetics.

COVID-19 transmission as of May 30, 2020, from Nextstrain
COVID-19 transmission as of May 30, 2020
Latest situation report from Nextstrain.org

UCSC Genome Browser view of SARS-CoV-2 genomic datasets


Video tutorial: Using the coronavirus browser.

COVID-19 and Lung gene expression data in the UCSC Cell Browser:

COVID-19 Datasets:

Other Lung datasets in the Cell Browser

UShER for real-time genomic contact tracing

UShER logo In addition to the Genome Browser, we offer a web interface to Ultrafast Sample placement on Existing tRees (UShER) (Turakhia et al.), a tool for identifying the relationships among a user's newly sequenced viral genomes and all known SARS-CoV-2 virus genomes. UShER identifies relationships between viral genomes by adding them to an existing phylogenetic tree of similar sequences that visually depicts the evolutionary relationships among the genome sequences. This approach empowers "genomic contact tracing". That is, UShER tells you whether virus genomes are closely related and therefore possibly from the same source, or if they are distantly related and the infections come from distinct sources. When newly sequenced virus genomes are added to a comprehensive tree of previously sequenced genomes, contact tracers are often able to determine where in the world those genomes came from. UShER is the only available method that can do this in "real time". Our tool places genomes onto a comprehensive global phylogeny of more than 80,000 virus genomes in less than one second.

Example output of UShER
Example UShER results displayed using Nextstrain. Sequences representing a hypothetical outbreak are yellow; previously sampled sequences are blue. Branches are labeled by nucleotide mutations.

News

Funding

The UCSC Genome Browser is a publicly available web resource serving the research community since July 2000. Both the Genome Browser and UCSC Cell Browser are funded by the NIH National Human Genome Research Institute. In addition to this funding, the COVID-19 projects here are funded by generous supporters including: several anonymous donors; Pat and Roland Rebele; Eric and Wendy Schmidt by recommendation of the Schmidt Futures program; the Center for Information Technology Research in the Interest of Society (CITRIS); and the University of California Office of the President (UCOP). To contribute, click here.