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Variant analysis of 1,040 SARS-CoV-2 genomes.
Rouchka, Eric C; Chariker, Julia H; Chung, Donghoon.
  • Rouchka EC; Department of Computer Science and Engineering, University of Louisville, Louisville, Kentucky, United States of America.
  • Chariker JH; Kentucky Biomedical Research Infrastructure Network Bioinformatics Core, University of Louisville, Louisville, Kentucky, United States of America.
  • Chung D; Kentucky Biomedical Research Infrastructure Network Bioinformatics Core, University of Louisville, Louisville, Kentucky, United States of America.
PLoS One ; 15(11): e0241535, 2020.
Article in English | MEDLINE | ID: covidwho-914232
ABSTRACT
The severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) viral genome is an RNA virus consisting of approximately 30,000 bases. As part of testing efforts, whole genome sequencing of human isolates has resulted in over 1,600 complete genomes publicly available from GenBank. We have performed a comparative analysis of the sequences, in order to detect common mutations within the population. Analysis of variants occurring within the assembled genomes yields 417 variants occurring in at least 1% of the completed genomes, including 229 within the 5' untranslated region (UTR), 152 within the 3'UTR, 2 within intergenic regions and 34 within coding sequences.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genome, Viral / Betacoronavirus / Mutation Type of study: Prognostic study Topics: Variants Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0241535

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genome, Viral / Betacoronavirus / Mutation Type of study: Prognostic study Topics: Variants Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0241535