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
{"title":"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","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","doi":"arxiv-2405.04734","DOIUrl":null,"url":null,"abstract":"The COVID-19 pandemic led to a large global effort to sequence SARS-CoV-2\ngenomes from patient samples to track viral evolution and inform public health\nresponse. Millions of SARS-CoV-2 genome sequences have been deposited in global\npublic repositories. The Canadian COVID-19 Genomics Network (CanCOGeN -\nVirusSeq), a consortium tasked with coordinating expanded sequencing of\nSARS-CoV-2 genomes across Canada early in the pandemic, created the Canadian\nVirusSeq Data Portal, with associated data pipelines and procedures, to support\nthese efforts. The goal of VirusSeq was to allow open access to Canadian\nSARS-CoV-2 genomic sequences and enhanced, standardized contextual data that\nwere unavailable in other repositories and that meet FAIR standards (Findable,\nAccessible, Interoperable and Reusable). The Portal data submission pipeline\ncontains data quality checking procedures and appropriate acknowledgement of\ndata generators that encourages collaboration. Here we also highlight Duotang,\na web platform that presents genomic epidemiology and modeling analyses on\ncirculating and emerging SARS-CoV-2 variants in Canada. Duotang presents\ndynamic changes in variant composition of SARS-CoV-2 in Canada and by province,\nestimates variant growth, and displays complementary interactive\nvisualizations, with a text overview of the current situation. The VirusSeq\nData Portal and Duotang resources, alongside additional analyses and resources\ncomputed from the Portal (COVID-MVP, CoVizu), are all open-source and freely\navailable. Together, they provide an updated picture of SARS-CoV-2 evolution to\nspur scientific discussions, inform public discourse, and support communication\nwith and within public health authorities. They also serve as a framework for\nother jurisdictions interested in open, collaborative sequence data sharing and\nanalyses.","PeriodicalId":501070,"journal":{"name":"arXiv - QuanBio - Genomics","volume":"33 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Canadian VirusSeq Data Portal & Duotang: open resources for SARS-CoV-2 viral sequences and genomic epidemiology\",\"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\",\"doi\":\"arxiv-2405.04734\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The COVID-19 pandemic led to a large global effort to sequence SARS-CoV-2\\ngenomes from patient samples to track viral evolution and inform public health\\nresponse. Millions of SARS-CoV-2 genome sequences have been deposited in global\\npublic repositories. The Canadian COVID-19 Genomics Network (CanCOGeN -\\nVirusSeq), a consortium tasked with coordinating expanded sequencing of\\nSARS-CoV-2 genomes across Canada early in the pandemic, created the Canadian\\nVirusSeq Data Portal, with associated data pipelines and procedures, to support\\nthese efforts. The goal of VirusSeq was to allow open access to Canadian\\nSARS-CoV-2 genomic sequences and enhanced, standardized contextual data that\\nwere unavailable in other repositories and that meet FAIR standards (Findable,\\nAccessible, Interoperable and Reusable). The Portal data submission pipeline\\ncontains data quality checking procedures and appropriate acknowledgement of\\ndata generators that encourages collaboration. Here we also highlight Duotang,\\na web platform that presents genomic epidemiology and modeling analyses on\\ncirculating and emerging SARS-CoV-2 variants in Canada. Duotang presents\\ndynamic changes in variant composition of SARS-CoV-2 in Canada and by province,\\nestimates variant growth, and displays complementary interactive\\nvisualizations, with a text overview of the current situation. The VirusSeq\\nData Portal and Duotang resources, alongside additional analyses and resources\\ncomputed from the Portal (COVID-MVP, CoVizu), are all open-source and freely\\navailable. Together, they provide an updated picture of SARS-CoV-2 evolution to\\nspur scientific discussions, inform public discourse, and support communication\\nwith and within public health authorities. 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The Canadian VirusSeq Data Portal & Duotang: open resources for SARS-CoV-2 viral sequences and genomic epidemiology
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.