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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, Jerry; Qian, Zhongchao; Sattler, Rachel; Matteson, Nathaniel L; Levy, Joshua I; Lee, Raphael Tc; Freitas, Lucas; Maurer-Stroh, Sebastian; Suchard, Marc A; Wu, Chunlei; Su, Andrew I; Andersen, Kristian G; Hughes, Laura D.
Afiliação
  • Gangavarapu K; Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.
  • Latif AA; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Mullen JL; Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Alkuzweny M; Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA.
  • Hufbauer E; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Tsueng G; Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Haag E; Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Zeller M; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Aceves CM; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Zaiets K; Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Cano M; Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Zhou J; Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Qian Z; Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Sattler R; Skaggs Graduate School of Biological and Chemical Sciences, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Matteson NL; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Levy JI; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
  • Lee RT; GISAID Global Data Science Initiative (GISAID), Munich, Germany.
  • Freitas L; Bioinformatics Institute & ID Labs, Agency for Science Technology and Research, Singapore.
  • Maurer-Stroh S; GISAID Global Data Science Initiative (GISAID), Munich, Germany.
  • Suchard MA; GISAID Global Data Science Initiative (GISAID), Munich, Germany.
  • Wu C; Bioinformatics Institute & ID Labs, Agency for Science Technology and Research, Singapore.
  • Su AI; National Centre for Infectious Diseases, Ministry of Health, Singapore.
  • Andersen KG; Department of Biological Sciences, National University of Singapore, Singapore.
Res Sq ; 2022 Jun 28.
Article em En | MEDLINE | ID: mdl-35794893
ABSTRACT
The emergence of SARS-CoV-2 variants of concern has prompted the need for near real-time genomic surveillance to inform public health interventions. In response to this need, 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 and opinionated visualizations in the variant and location focussed reports 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 present a case study that illustrates 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. With an emphasis on scalability, interactivity, interpretability, and reusability, outbreak.info provides a template to enable genomic surveillance at a global and localized scale.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article