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VIRTUS: a pipeline for comprehensive virus analysis from conventional RNA-seq data.
Yasumizu, Yoshiaki; Hara, Atsushi; Sakaguchi, Shimon; Ohkura, Naganari.
Afiliação
  • Yasumizu Y; Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka 565-0871, Japan.
  • Hara A; Department of Immunology, Nara Medical University, Kashihara, Nara 634-8521, Japan.
  • Sakaguchi S; Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka 565-0871, Japan.
  • Ohkura N; Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka 565-0871, Japan.
Bioinformatics ; 37(10): 1465-1467, 2021 06 16.
Article em En | MEDLINE | ID: mdl-33017003
SUMMARY: The possibility that RNA transcripts from clinical samples contain plenty of virus RNAs has not been pursued actively so far. We here developed a new tool for analyzing virus-transcribed mRNAs, not virus copy numbers, in the data of bulk and single-cell RNA-sequencing of human cells. Our pipeline, named VIRTUS (VIRal Transcript Usage Sensor), was able to detect 762 viruses including herpesviruses, retroviruses and even SARS-CoV-2 (COVID-19), and quantify their transcripts in the sequence data. This tool thus enabled simultaneously detecting infected cells, the composition of multiple viruses within the cell, and the endogenous host-gene expression profile of the cell. This bioinformatics method would be instrumental in addressing the possible effects of covertly infecting viruses on certain diseases and developing new treatments to target such viruses. AVAILABILITY AND IMPLEMENTATION: : VIRTUS is implemented using Common Workflow Language and Docker under a CC-NC license. VIRTUS is freely available at https://github.com/yyoshiaki/VIRTUS. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / COVID-19 Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / COVID-19 Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão