Open AccessAnalysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness
Author(s) -
Fritz Obermeyer,
Martin Jankowiak,
Nikolaos Barkas,
S. F. Schaffner,
Jesse D. Pyle,
Leonid Yurkovetskiy,
Matteo Bosso,
Daniel J. Park,
Mehrtash Babadi,
Bronwyn MacInnis,
Jeremy Luban,
Pardis C. Sabeti,
Jacob E. Lemieux
Publication year - 2022
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.abm1208
Subject(s) - genome , biology , genetics , mutation , covid-19 , evolutionary biology , genetic fitness , coronavirus , gene , computational biology , disease , medicine , pathology , infectious disease (medical specialty)
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