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Outbreak.info genomic reports: scalable and dynamic surveillance of SARS-CoV-2 variants and mutations.
Gangavarapu, Karthik; Latif, Alaa Abdel; Mullen, Julia L; Alkuzweny, Manar; Hufbauer, Emory; Tsueng, Ginger; Haag, Emily; Zeller, Mark; Aceves, Christine M; Zaiets, Karina; Cano, Marco; Zhou, Xinghua; Qian, Zhongchao; Sattler, Rachel; Matteson, Nathaniel L; Levy, Joshua I; Lee, Raphael T C; Freitas, Lucas; Maurer-Stroh, Sebastian; Suchard, Marc A; Wu, Chunlei; Su, Andrew I; Andersen, Kristian G; Hughes, Laura D.
  • Gangavarapu K; Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA. gkarthik@ucla.edu.
  • Latif AA; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA. gkarthik@ucla.edu.
  • Mullen JL; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA.
  • Alkuzweny M; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
  • Hufbauer E; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA.
  • Tsueng G; Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
  • Haag E; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA.
  • Zeller M; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
  • Aceves CM; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
  • Zaiets K; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA.
  • Cano M; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA.
  • Zhou X; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
  • Qian Z; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
  • Sattler R; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
  • Matteson NL; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
  • Levy JI; Skaggs Graduate School of Biological and Chemical Sciences, The Scripps Research Institute, La Jolla, CA, USA.
  • Lee RTC; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA.
  • Freitas L; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA.
  • Maurer-Stroh S; GISAID Global Data Science Initiative, Munich, Germany.
  • Suchard MA; GISAID Global Data Science Initiative, Munich, Germany.
  • Wu C; Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil.
  • Su AI; GISAID Global Data Science Initiative, Munich, Germany.
  • Andersen KG; Bioinformatics Institute & ID Labs, Agency for Science Technology and Research, Singapore, Singapore.
  • Hughes LD; National Centre for Infectious Diseases, Ministry of Health, Singapore, Singapore.
Nat Methods ; 20(4): 512-522, 2023 04.
Article in English | MEDLINE | ID: covidwho-2259999
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Screening_studies Topics: Variants Limits: Humans Language: English Journal: Nat Methods Journal subject: Laboratory Techniques and procedures Year: 2023 Document Type: Article Affiliation country: S41592-023-01769-3

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Screening_studies Topics: Variants Limits: Humans Language: English Journal: Nat Methods Journal subject: Laboratory Techniques and procedures Year: 2023 Document Type: Article Affiliation country: S41592-023-01769-3