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VODKA2: A fast and accurate method to detect non-standard viral genomes from large RNA-seq datasets.

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Title: VODKA2: A fast and accurate method to detect non-standard viral genomes from large RNA-seq datasets.
Authors: Achouri E; Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine, St Louis, MO, USA., Felt SA; Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine, St Louis, MO, USA., Hackbart M; Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine, St Louis, MO, USA., Rivera-Espinal NS; Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine, St Louis, MO, USA., López CB; Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine, St Louis, MO, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2023 Jul 15. Date of Electronic Publication: 2023 Jul 15.
Publication Type: Preprint; Journal Article
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AU" term="%22Achouri+E%22">Achouri E</searchLink>; Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine, St Louis, MO, USA.<br /><searchLink fieldCode="AU" term="%22Felt+SA%22">Felt SA</searchLink>; Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine, St Louis, MO, USA.<br /><searchLink fieldCode="AU" term="%22Hackbart+M%22">Hackbart M</searchLink>; Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine, St Louis, MO, USA.<br /><searchLink fieldCode="AU" term="%22Rivera-Espinal+NS%22">Rivera-Espinal NS</searchLink>; Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine, St Louis, MO, USA.<br /><searchLink fieldCode="AU" term="%22López+CB%22">López CB</searchLink>; Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine, St Louis, MO, USA.
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  Data: <searchLink fieldCode="JN" term="%22101680187%22">BioRxiv : the preprint server for biology</searchLink> [bioRxiv] 2023 Jul 15. <i>Date of Electronic Publication: </i>2023 Jul 15.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101680187 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2692-8205 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226928205%22">26928205 </searchLink><i>NLM ISO Abbreviation: </i>bioRxiv <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1101/2023.04.25.537842
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        Text: English
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      – TitleFull: VODKA2: A fast and accurate method to detect non-standard viral genomes from large RNA-seq datasets.
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            – D: 15
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              Text: 2023 Jul 15
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