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    Tracking COVID-19 through mutation fingerprints, worldwide.

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    smarthealth2021.mkv0007.NORMAL.pdf
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    Type
    Poster
    Authors
    Alam, Intikhab cc
    Uludağ, Mahmut
    Radovanovic, Aleksandar
    Incitti, Roberto
    Kamau, Allan A.
    Alarawi, Mohammed
    Gojobori, Takashi cc
    Date
    2021-11-22
    Permanent link to this record
    http://hdl.handle.net/10754/673415
    
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    Abstract
    The SARS-CoV-2 virus causing the COVID-19 pandemic, has been sequenced in patients over 4.5 million times with over 2 million genomes belong to Delta while 1 million genomes belong to Alpha variant. This increase in the sequencing efforts is due to WHO call on stepping up sequencing to actively track the rise of mutations or variants of concern related to increased infectivity and evasion of antibodies. Here, we present a daily updated geographic sequencing effort and genomic 'mutation fingerprints' based COVID-19 virus mutation tracking system (CovMT) that processes publicly available genome data from GISAID. The CovMT interactive resource is available online for scientists, general public and public health authorities at https://www.cbrc.kaust.edu.sa/covmt.
    Sponsors
    We are thankful to King Abdullah University of Science and Technology information technology and supercomputing laboratory teams for maintaining the computational resources and helping to publish the CovMT website, and to GISAID for providing daily updates on sequenced isolates worldwide. This work is supported by King Abdulaziz City of Science and Technology grant for COVID-19 research, number 0004-002-01-20-5.
    Conference/Event name
    KAUST R3T Week 2021
    Additional Links
    https://www.cbrc.kaust.edu.sa/covmt/
    https://www.cbrc.kaust.edu.sa/rapidcovariant/
    Collections
    KAUST R3T Week 2021; Posters

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