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VODKA2: a fast and accurate method to detect non-standard viral genomes from large RNA-seq data sets.

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Title: VODKA2: a fast and accurate method to detect non-standard viral genomes from large RNA-seq data sets.
Authors: Achouri E; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA., Felt SA; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA., Hackbart M; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA., Rivera-Espinal NS; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA., López CB; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA clopezzalaquett@wustl.edu.
Source: RNA (New York, N.Y.) [RNA] 2023 Dec 18; Vol. 30 (1), pp. 16-25. Date of Electronic Publication: 2023 Dec 18.
Publication Type: Journal Article
Journal Info: Publisher: Cold Spring Harbor Laboratory Press Country of Publication: United States NLM ID: 9509184 Publication Model: Electronic Cited Medium: Internet ISSN: 1469-9001 (Electronic) Linking ISSN: 13558382 NLM ISO Abbreviation: RNA Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Achouri+E%22">Achouri E</searchLink>; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA.<br /><searchLink fieldCode="AU" term="%22Felt+SA%22">Felt SA</searchLink>; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA.<br /><searchLink fieldCode="AU" term="%22Hackbart+M%22">Hackbart M</searchLink>; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA.<br /><searchLink fieldCode="AU" term="%22Rivera-Espinal+NS%22">Rivera-Espinal NS</searchLink>; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA.<br /><searchLink fieldCode="AU" term="%22López+CB%22">López CB</searchLink>; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA clopezzalaquett@wustl.edu.
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  Data: <searchLink fieldCode="JN" term="%229509184%22">RNA (New York, N.Y.)</searchLink> [RNA] 2023 Dec 18; Vol. 30 (1), pp. 16-25. <i>Date of Electronic Publication: </i>2023 Dec 18.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Cold+Spring+Harbor+Laboratory+Press%22">Cold Spring Harbor Laboratory Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9509184 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1469-9001 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213558382%22">13558382 </searchLink><i>NLM ISO Abbreviation: </i>RNA <i>Subsets: </i>MEDLINE
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        Value: 10.1261/rna.079747.123
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              Text: 2023 Dec 18
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