New online resource: COVID-19 CoV Genetics browser

Hi Virological community!

We just launched a COVID-19 CoV Genetics (COVID-19 CG; browser as an open resource that enables users to track SARS-CoV-2 single-nucleotide variations (SNVs) and lineages while rapidly filtering by location, date, gene, and mutation of interest. Users can select and view comprehensive nucleotide and amino acid residue variations to inform their research and the design and testing of vaccines, therapeutics, or diagnostic assays.

To accelerate COVID-19 research and public health efforts, COVID-19 CG will be continually upgraded with new and improved features so that users can quickly and reliably pinpoint critical mutations as the virus evolves throughout the pandemic and in response to therapeutic and public health interventions.

Please visit our site and send us your feedback via email (covidcg at or via twitter @covidcg

Our team is also giving a 10-min talk about COVID-19 CG at the upcoming ASGCT COVID-19 symposium on September 16, 5:12-5:24 PM: (free registration).

COVID-19 CoV Genetics team:

Albert Tian Chen, Kevin Altschuler, Shing Hei Zhan, Yujia Alina Chan, Benjamin E. Deverman

Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States of America.

Department of Zoology & Biodiversity Research Centre, the University of British Columbia, Vancouver BC, Canada.