Outbreak.info genomic reports: scalable and dynamic surveillance of SARS-CoV-2 variants and mutations
Supporting Files
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4 2023
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Available in CDC Stacks on 2023-10-01T00:00:00Z
File Language:
English
Details
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Alternative Title:Nat Methods
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Personal Author:Gangavarapu, Karthik
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Latif, Alaa Abdel
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Mullen, Julia L.
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Alkuzweny, Manar
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Hufbauer, Emory
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Tsueng, Ginger
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Haag, Emily
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Zeller, Mark
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Aceves, Christine M.
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Zaiets, Karina
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Cano, Marco
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Zhou, Xinghua
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Qian, Zhongchao
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Sattler, Rachel
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Matteson, Nathaniel L.
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Levy, Joshua I.
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Lee, Raphael T. C.
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Freitas, Lucas
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Maurer-Stroh, Sebastian
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Suchard, Marc A.
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Wu, Chunlei
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Su, Andrew I.
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Andersen, Kristian G.
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Hughes, Laura D.
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Corporate Authors:
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Description: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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Keywords:
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Source:Nat Methods. 20(4):512-522
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Pubmed ID:36823332
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Pubmed Central ID:PMC10399614
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Document Type:
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Funding:R01 AI153044/AI/NIAID NIH HHSUnited States/ ; U24 TR002306/TR/NCATS NIH HHSUnited States/ ; UL1 TR002550/TR/NCATS NIH HHSUnited States/ ; U01 AI151812/AI/NIAID NIH HHSUnited States/ ; U01AI151812/AI/NIAID NIH HHSUnited States/ ; U19 AI135995/AI/NIAID NIH HHSUnited States/ ; 75D30120C09795/CC/CDC HHSUnited States/ ; R01 GM083924/GM/NIGMS NIH HHSUnited States/ ; R01GM083924/GM/NIGMS NIH HHSUnited States/ ; R01 AI162611/AI/NIAID NIH HHSUnited States/ ; UL1TR002550/TR/NCATS NIH HHSUnited States/
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Volume:20
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Issue:4
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Download URL:
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File Type:
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Main Document Checksum:urn:sha256:c3536e9927c7fd4fd914085e1a9bbf51377ea648020c2d137be682d5539b4f5f
Supporting Files
File Language:
English
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