The Canadian VirusSeq Data Portal & Duotang: open resources for SARS-CoV-2 viral sequences and genomic epidemiology

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
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Abstract

The COVID-19 pandemic led to a large global effort to sequence SARS-CoV-2 genomes from patient samples to track viral evolution and inform public health response. Millions of SARS-CoV-2 genome sequences have been deposited in global public repositories. The Canadian COVID-19 Genomics Network (CanCOGeN - VirusSeq), a consortium tasked with coordinating expanded sequencing of SARS-CoV-2 genomes across Canada early in the pandemic, created the Canadian VirusSeq Data Portal, with associated data pipelines and procedures, to support these efforts. The goal of VirusSeq was to allow open access to Canadian SARS-CoV-2 genomic sequences and enhanced, standardized contextual data that were unavailable in other repositories and that meet FAIR standards (Findable, Accessible, Interoperable and Reusable). The Portal data submission pipeline contains data quality checking procedures and appropriate acknowledgement of data generators that encourages collaboration. Here we also highlight Duotang, a web platform that presents genomic epidemiology and modeling analyses on circulating and emerging SARS-CoV-2 variants in Canada. Duotang presents dynamic changes in variant composition of SARS-CoV-2 in Canada and by province, estimates variant growth, and displays complementary interactive visualizations, with a text overview of the current situation. The VirusSeq Data Portal and Duotang resources, alongside additional analyses and resources computed from the Portal (COVID-MVP, CoVizu), are all open-source and freely available. Together, they provide an updated picture of SARS-CoV-2 evolution to spur scientific discussions, inform public discourse, and support communication with and within public health authorities. They also serve as a framework for other jurisdictions interested in open, collaborative sequence data sharing and analyses.
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加拿大 VirusSeq 数据门户和 Duotang:SARS-CoV-2 病毒序列和基因组流行病学开放资源
在 COVID-19 大流行的推动下,全球开展了大规模的工作,对患者样本中的 SARS-CoV-2 基因组进行测序,以追踪病毒进化并为公共卫生应对措施提供信息。数百万个 SARS-CoV-2 基因组序列已存入全球公共资料库。加拿大 COVID-19 基因组学网络(CanCOGeN -VirusSeq)是一个联盟,其任务是在大流行早期协调扩大加拿大各地的 SARS-CoV-2 基因组测序工作,该联盟创建了加拿大病毒测序数据门户网站(CanadianVirusSeq Data Portal)以及相关的数据管道和程序,以支持这些工作。VirusSeq 的目标是允许公开访问加拿大 SARS-CoV-2 基因组序列和增强的标准化背景数据,这些数据在其他存储库中无法获得,并且符合 FAIR 标准(可查找、可访问、可互操作和可重复使用)。门户网站的数据提交流水线包含数据质量检查程序和对数据生成者的适当鸣谢,以鼓励合作。在此,我们还重点介绍了 "多堂"(Duotang)这一网络平台,该平台对加拿大正在流通和出现的 SARS-CoV-2 变种进行基因组流行病学和建模分析。Duotang 介绍了加拿大和各省 SARS-CoV-2 变体组成的动态变化,估计了变体的增长情况,并显示了互补的交互式可视化,同时还提供了当前情况的文字概览。VirusSeqData Portal 和 Duotang 资源以及由该 Portal 计算出的其他分析和资源(COVID-MVP、CoVizu)都是开源和免费的。它们共同提供了有关 SARS-CoV-2 演变的最新情况,以促进科学讨论,为公众讨论提供信息,并支持与公共卫生部门的沟通以及公共卫生部门内部的沟通。它们还为其他对开放、协作性序列数据共享和分析感兴趣的辖区提供了一个框架。
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