Intrahost SARS-CoV-2 k-mer Identification Method (iSKIM) for Rapid Detection of Mutations of Concern Reveals Emergence of Global Mutation Patterns.

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第一作者： Ashley,Thommana

第一单位： Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.

作者： Ashley,Thommana ^[1] ; Migun,Shakya ^[2] ; Jaykumar,Gandhi ^[3] ; Christian K,Fung ^[1] ; Patrick S G,Chain ^[1] ; Irina,Maljkovic Berry ^[3] ; Matthew A,Conte ^[1]

作者单位： Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA. ^[1] Montgomery Blair High School, Silver Spring, MD 20901, USA. ^[2] Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA. ^[3] Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA. ^[4]

关键词 COVID-19 SARS-CoV-2 bioinformatics computational genomics genomic sequencing intrahost variation mutation variants of concern

主题词人类(Humans);突变(Mutation)

DOI 10.3390/v14102128

PMID 36298683

发布时间 2023-11-06

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