Reproducibly sampling SARS-CoV-2 genomes across time, geography, and viral diversity [version 1; peer review: 1 approved, 1 approved with reservations]

The COVID-19 pandemic has led to a rapid accumulation of SARS-CoV-2 genomes, enabling genomic epidemiology on local and global scales. Collections of genomes from resources such as GISAID must be subsampled to enable computationally feasible phylogenetic and other analyses. We present genome-sampler...

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Veröffentlicht in:	F1000 research 2020, Vol.9, p.657
Hauptverfasser:	Bolyen, Evan, Dillon, Matthew R, Bokulich, Nicholas A, Ladner, Jason T, Larsen, Brendan B, Hepp, Crystal M, Lemmer, Darrin, Sahl, Jason W, Sanchez, Andrew, Holdgraf, Chris, Sewell, Chris, Choudhury, Aakash G, Stachurski, John, McKay, Matthew, Engelthaler, David M, Worobey, Michael, Keim, Paul, Caporaso, J. Gregory
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational Biology COVID-19 Genome, Viral Geography Humans Pandemics Phylogeny Retrospective Studies SARS-CoV-2 - genetics Software
Online-Zugang:	Volltext
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