Author: Daniel J Butler; Christopher Mozsary; Cem Meydan; David C Danko; Jonathan Foox; Joel Rosiene; Alon Shaiber; Ebrahim Afshinnekoo; Matthew MacKay; Fritz J Sedlazeck; Nikolay A Ivanov; Maria A Sierra; Diana Pohle; Michael Zeitz; Vijendra Ramlall; Undina Gisladottir; Craig D Westover; Krista Ryon; Benjamin Young; Chandrima Bhattacharya; Phyllis Ruggiero; Bradley W Langhorst; Nathan A Tanner; Justyn Gawrys; Dmitry Meleshko; Dong Xu; Jenny Xiang; Angelika Iftner; Daniela Bezdan; John Sipley; Lin Cong; Arryn Craney; Priya Velu; Ari Melnick; Iman A Hajirasouliha; Thomas Iftner; Mirella Salvatore; Massimo Loda; Lars F Westblade; Shawn Levy; Melissa Cushing; Nicholas P Tatonetti; Marcin Imielinski; Hanna Rennert; Christopher Mason
Title: Host, Viral, and Environmental Transcriptome Profiles of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Document date: 2020_4_20
ID: kyoa5gsf_10
Snippet: The total RNA-seq data provided a broad view of the host transcriptome, the SARS-CoV-2 virus, as well as other domains of life. Libraries were dominated by reads that mapped to either human, bacterial, or SARS-CoV-2 genomes, in that order, but with lower proportion of reads mapping to fungi, archaea, or other viruses (Figure 2c, 2d) . The reads that mapped to SARS-CoV-2 from total RNA-seq were sufficient to provide >10x coverage of the viral geno.....
Document: The total RNA-seq data provided a broad view of the host transcriptome, the SARS-CoV-2 virus, as well as other domains of life. Libraries were dominated by reads that mapped to either human, bacterial, or SARS-CoV-2 genomes, in that order, but with lower proportion of reads mapping to fungi, archaea, or other viruses (Figure 2c, 2d) . The reads that mapped to SARS-CoV-2 from total RNA-seq were sufficient to provide >10x coverage of the viral genomes for 118/132 (89.4%) of patient samples (Figure 3a) , with robust (>1000X) sequencing depth of the genome for the high viral load (
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