Outbreak.info genomic reports: scalable and dynamic surveillance of SARS-CoV-2 variants and mutations

被引:83
|
作者
Gangavarapu, Karthik [1 ,2 ]
Latif, Alaa Abdel [2 ]
Mullen, Julia L. [3 ]
Alkuzweny, Manar [2 ,4 ]
Hufbauer, Emory [2 ]
Tsueng, Ginger [3 ]
Haag, Emily [3 ]
Zeller, Mark [2 ]
Aceves, Christine M. [2 ]
Zaiets, Karina [3 ]
Cano, Marco [3 ]
Zhou, Xinghua [3 ]
Qian, Zhongchao [3 ]
Sattler, Rachel [5 ]
Matteson, Nathaniel L. [2 ]
Levy, Joshua I. [2 ]
Lee, Raphael T. C. [6 ,7 ]
Freitas, Lucas [6 ,8 ]
Maurer-Stroh, Sebastian [6 ,7 ,9 ,10 ]
Suchard, Marc A. [1 ,11 ,12 ]
Wu, Chunlei [3 ,13 ,14 ]
Su, Andrew I. [3 ,13 ,14 ]
Andersen, Kristian G. [2 ,13 ]
Hughes, Laura D. [3 ]
机构
[1] Univ Calif Los Angeles, David Geffen Sch Med, Dept Human Genet, Los Angeles, CA 90095 USA
[2] Scripps Res Inst, Dept Immunol & Microbiol, La Jolla, CA 92037 USA
[3] Scripps Res Inst, Dept Integrat Struct & Computat Biol, La Jolla, CA 92037 USA
[4] Univ Notre Dame, Dept Biol Sci, Notre Dame, IN USA
[5] Scripps Res Inst, Skaggs Grad Sch Biol & Chem Sci, La Jolla, CA USA
[6] GISAID Global Data Sci Initiat, Munich, Germany
[7] Agcy Sci Technol & Res, Bioinformat Inst & ID Labs, Singapore, Singapore
[8] Oswaldo Cruz Fdn FIOCRUZ, Rio De Janeiro, Brazil
[9] Minist Hlth, Natl Ctr Infect Dis, Singapore, Singapore
[10] Natl Univ Singapore, Dept Biol Sci, Singapore, Singapore
[11] Univ Calif Los Angeles, David Geffen Sch Med, Dept Biomath, Los Angeles, CA USA
[12] Univ Calif Los Angeles, Fielding Sch Publ Hlth, Dept Biostat, Los Angeles, CA USA
[13] Scripps Res Translat Inst, La Jolla, CA USA
[14] Scripps Res Inst, Dept Mol Med, La Jolla, CA USA
关键词
ZIKA VIRUS; TRANSMISSION; EPIDEMIOLOGY; EVOLUTION; SPREAD;
D O I
10.1038/s41592-023-01769-3
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
In response to the emergence of SARS-CoV-2 variants of concern, the global scientific community, through unprecedented effort, has sequenced and shared over 11 million genomes through GISAID, as of May 2022. This extraordinarily high sampling rate provides a unique opportunity to track the evolution of the virus in near real-time. Here, we present outbreak.info, a platform that currently tracks over 40 million combinations of Pango lineages and individual mutations, across over 7,000 locations, to provide insights for researchers, public health officials and the general public. We describe the interpretable visualizations available in our web application, the pipelines that enable the scalable ingestion of heterogeneous sources of SARS-CoV-2 variant data and the server infrastructure that enables widespread data dissemination via a high-performance API that can be accessed using an R package. We show how outbreak.info can be used for genomic surveillance and as a hypothesis-generation tool to understand the ongoing pandemic at varying geographic and temporal scales.
引用
收藏
页码:512 / 522
页数:21
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