Benchmark datasets for SARS-CoV-2 surveillance bioinformatics | Zendy

Lingzi Xiaoli | Zendy; Jill V. Hagey | Zendy; Daniel J. Park | Zendy; Christopher A. Gulvik | Zendy; Erin L. Young | Zendy; Nabil-Fareed Alikhan | Zendy; Adrian Lawsin | Zendy; Norman Hassell | Zendy; Kristen Knipe | Zendy; Kelly F. Oakeson | Zendy; Adam C. Retchless | Zendy; Migun Shakya | Zendy; ChienChi Lo | Zendy; Patrick Chain | Zendy; Andrew J. Page | Zendy; Benjamin J. Metcalf | Zendy; Michelle Su | Zendy; Jessica Rowell | Zendy; Eshaw Vidyaprakash | Zendy; Clinton R. Paden | Zendy; Andrew Huang | Zendy; Dawn M. Roellig | Zendy; Ketan Patel | Zendy; Kathryn Winglee | Zendy; Michael R. Weigand | Zendy; Lee S. Katz | Zendy

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Benchmark datasets for SARS-CoV-2 surveillance bioinformatics

Author(s) -

Lingzi Xiaoli,

Jill V. Hagey,

Daniel J. Park,

Christopher A. Gulvik,

Erin L. Young,

Nabil-Fareed Alikhan,

Adrian Lawsin,

Norman Hassell,

Kristen Knipe,

Kelly F. Oakeson,

Adam C. Retchless,

Migun Shakya,

ChienChi Lo,

Patrick Chain,

Andrew J. Page,

Benjamin J. Metcalf,

Michelle Su,

Jessica Rowell,

Eshaw Vidyaprakash,

Clinton R. Paden,

Andrew Huang,

Dawn M. Roellig,

Ketan Patel,

Kathryn Winglee,

Michael R. Weigand,

Lee S. Katz

Publication year - 2022

Publication title -

peerj

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 0.927

H-Index - 70

ISSN - 2167-8359

DOI - 10.7717/peerj.13821

Subject(s) - covid-19 , benchmark (surveying) , computer science , computational biology , bioinformatics , virology , biology , medicine , geography , cartography , infectious disease (medical specialty) , outbreak , pathology , disease

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