Authors: Erin E. Gill, Baofeng Jia, Carmen Lia Murall, Raphaël Poujol, Muhammad Zohaib Anwar, Nithu Sara John, Justin Richardsson, Ashley Hobb, Abayomi S. Olabode, Alexandru Lepsa, Ana T. Duggan, Andrea D. Tyler, Arnaud N’Guessan, Atul Kachru, Brandon Chan, Catherine Yoshida, Christina K. Yung, David Bujold, Dusan Andric, Edmund Su, Emma J. Griffiths, Gary Van Domselaar, Gordon W. Jolly, Heather K.E. Ward, Henrich Feher, Jared Baker, Jared T. Simpson, Jaser Uddin, Jiannis Ragoussis, Jon Eubank, Jörg H. Fritz, José Héctor Gálvez, Karen Fang, Kim Cullion, Leonardo Rivera, Linda Xiang, Matthew A. Croxen, Mitchell Shiell, Natalie Prystajecky, Pierre-Olivier Quirion, Rosita Bajari, Samantha Rich, Samira Mubareka, Sandrine Moreira, Scott Cain, Steven G. Sutcliffe, Susanne A. Kraemer, Yann Joly, Yelizar Alturmessov, CPHLN consortium, CanCOGeN consortium, VirusSeq Data Portal Academic, Health network, Marc Fiume, Terrance P. Snutch, Cindy Bell, Catalina Lopez-Correa, Julie G. Hussin, Jeffrey B. Joy, Caroline Colijn, Paul M.K. Gordon, William W.L. Hsiao, Art F.Y. Poon, Natalie C. Knox, Mélanie Courtot, Lincoln Stein, Sarah P. Otto, Guillaume Bourque, B. Jesse Shapiro, Fiona S.L. Brinkman
Published on: May 08, 2024
Impact Score: 7.8
Arxiv code: Arxiv:2405.04734
Summary
- What is new: Creation of the Canadian VirusSeq Data Portal and Duotang platform, offering enhanced, standardized contextual data on SARS-CoV-2 genomes that meet FAIR standards, unavailable in other repositories.
- Why this is important: The need for a centralized, open-access resource to track SARS-CoV-2 evolution in Canada, supporting public health response.
- What the research proposes: Implementing the VirusSeq Data Portal to facilitate access to genomic sequences and Duotang for dynamic epidemiological analyses and modeling of SARS-CoV-2 variants.
- Results: Provided an updated view of SARS-CoV-2 evolution in Canada, enabling scientific discussions, informing public discourse, and assisting public health authorities. Promoted a framework for collaborative, open-access sequence data sharing.
Technical Details
Technological frameworks used: FAIR standards for data, data quality checking procedures, and Duotang web platform for genomic epidemiology.
Models used: Epidemiological and growth estimation models for circulating and emerging variants.
Data used: Millions of SARS-CoV-2 genomic sequences from Canadian patients.
Potential Impact
Healthcare and genomic data analysis companies, public health organizations, and policymakers could benefit from the insights and frameworks presented.
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