Unlocking capacities of viral genomics for the COVID-19 pandemic response.

Autor: Knyazev S; Department of Computer Science, College of Art and Science, Georgia State University, 1 Park Place, Room 618, Atlanta, GA 30303, USA., Chhugani K; Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, 1985 Zonal Avenue, Room 713. Los Angeles, CA 90089, USA., Sarwal V; Department of Computer Science, University of California Los Angeles, 580 Portola Plaza, Los Angeles, CA 90095, USA., Ayyala R; Department of Neuroscience, College of Life Sciences, University of California Los Angeles, 580 Portola Plaza, Los Angeles, CA 90095, USA., Singh H; Department of Electrical Engineering, Indian Institute of Technology, Hauz Khas, New Delhi, 110016, India., Karthikeyan S; Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA., Deshpande D; Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, 1985 Zonal Avenue, Room 713. Los Angeles, CA 90089, USA., Comarova Z; Paradigm Environmental, 3911 Old Lee Highway, Fairfax, VA 22030., Lu A; Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, 1985 Zonal Avenue, Room 713. Los Angeles, CA 90089-9121, USA., Porozov Y; World-Class Research Center 'Digital biodesign and personalized healthcare', I.M. Sechenov First Moscow State Medical University, Moscow, Russia.; Department of Computational Biology, Sirius University of Science and Technology, Sochi, Russia., Wu A; Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China.; Suzhou Institute of Systems Medicine, Suzhou, 215123, China., Abedalthagafi MS; Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia., Nagaraj SH; Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD 4059, Australia.; Translational Research Institute, Brisbane, Australia., Smith AL; Astani Department of Civil and Environmental Engineering, University of Southern California, 3620 South Vermont Avenue, Los Angeles, CA 90089., Skums P; Department of Computer Science, College of Art and Science, Georgia State University, 1 Park Place, Floor 6, Atlanta, GA 30303, USA., Ladner J; The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86011., Lam TT; State Key Laboratory of Emerging Infectious Diseases, School of Public Health, The University of Hong Kong., Wu NC; Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.; Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.; Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA., Zelikovsky A; Department of Computer Science, College of Art and Science, Georgia State University, 1 Park Place, Floor 6, Atlanta, GA 30303, USA.; The Laboratory of Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia., Knight R; Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.; Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA.; Department of Computer Science & Engineering, University of California, San Diego, La Jolla, CA, USA.; Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA., Crandall KA; Computational Biology Institute and Department of Biostatistics & Bioinformatics, Milken Institute School of Public Health, George Washington University, Washington, DC 20052., Mangul S; Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, 1540 Alcazar Street, Los Angeles, CA 90033, USA.
Jazyk: angličtina
Zdroj: ArXiv [ArXiv] 2021 Apr 28. Date of Electronic Publication: 2021 Apr 28.
Abstrakt: More than any other infectious disease epidemic, the COVID-19 pandemic has been characterized by the generation of large volumes of viral genomic data at an incredible pace due to recent advances in high-throughput sequencing technologies, the rapid global spread of SARS-CoV-2, and its persistent threat to public health. However, distinguishing the most epidemiologically relevant information encoded in these vast amounts of data requires substantial effort across the research and public health communities. Studies of SARS-CoV-2 genomes have been critical in tracking the spread of variants and understanding its epidemic dynamics, and may prove crucial for controlling future epidemics and alleviating significant public health burdens. Together, genomic data and bioinformatics methods enable broad-scale investigations of the spread of SARS-CoV-2 at the local, national, and global scales and allow researchers the ability to efficiently track the emergence of novel variants, reconstruct epidemic dynamics, and provide important insights into drug and vaccine development and disease control. Here, we discuss the tremendous opportunities that genomics offers to unlock the effective use of SARS-CoV-2 genomic data for efficient public health surveillance and guiding timely responses to COVID-19.
Databáze: MEDLINE