Ontology highlight
ABSTRACT:
SUBMITTER: Maurano MT
PROVIDER: S-EPMC7706732 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
Maurano Matthew T MT Ramaswami Sitharam S Zappile Paul P Dimartino Dacia D Boytard Ludovic L Ribeiro-Dos-Santos André M AM Vulpescu Nicholas A NA Westby Gael G Shen Guomiao G Feng Xiaojun X Hogan Megan S MS Ragonnet-Cronin Manon M Geidelberg Lily L Marier Christian C Meyn Peter P Zhang Yutong Y Cadley John J Ordoñez Raquel R Luther Raven R Huang Emily E Guzman Emily E Arguelles-Grande Carolina C Argyropoulos Kimon V KV Black Margaret M Serrano Antonio A Call Melissa E ME Kim Min Jae MJ Belovarac Brendan B Gindin Tatyana T Lytle Andrew A Pinnell Jared J Vougiouklakis Theodore T Chen John J Lin Lawrence H LH Rapkiewicz Amy A Raabe Vanessa V Samanovic Marie I MI Jour George G Osman Iman I Aguero-Rosenfeld Maria M Mulligan Mark J MJ Volz Erik M EM Cotzia Paolo P Snuderl Matija M Heguy Adriana A
Genome research 20201022 12
Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epidemiological parameters. Here, we report the analysis of 864 SARS-CoV-2 sequences from cases in the New York City metropolitan area during the COVID-19 outbreak in spring 2020. The majority of cases had no recent travel hist ...[more]