RefSeq database growth influences the accuracy of k-mer-based lowest common ancestor species identification.

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Title: RefSeq database growth influences the accuracy of k-mer-based lowest common ancestor species identification.
Authors: Nasko DJ; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA., Koren S; Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA., Phillippy AM; Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA., Treangen TJ; Department of Computer Science, Rice University, Houston, TX, USA. treangen@rice.edu.
Source: Genome biology [Genome Biol] 2018 Oct 30; Vol. 19 (1), pp. 165. Date of Electronic Publication: 2018 Oct 30.
Publication Type: Letter; Research Support, N.I.H., Intramural; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: RefSeq database growth influences the accuracy of k-mer-based lowest common ancestor species identification.
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  Data: <searchLink fieldCode="AU" term="%22Nasko+DJ%22">Nasko DJ</searchLink>; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.<br /><searchLink fieldCode="AU" term="%22Koren+S%22">Koren S</searchLink>; Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA.<br /><searchLink fieldCode="AU" term="%22Phillippy+AM%22">Phillippy AM</searchLink>; Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA.<br /><searchLink fieldCode="AU" term="%22Treangen+TJ%22">Treangen TJ</searchLink>; Department of Computer Science, Rice University, Houston, TX, USA. treangen@rice.edu.
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  Data: <searchLink fieldCode="JN" term="%22100960660%22">Genome biology</searchLink> [Genome Biol] 2018 Oct 30; Vol. 19 (1), pp. 165. <i>Date of Electronic Publication: </i>2018 Oct 30.
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  Data: Letter; Research Support, N.I.H., Intramural; Research Support, U.S. Gov't, Non-P.H.S.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central+Ltd%22">BioMed Central Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100960660 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1474-760X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214747596%22">14747596 </searchLink><i>NLM ISO Abbreviation: </i>Genome Biol <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s13059-018-1554-6
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        Text: English
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      – TitleFull: RefSeq database growth influences the accuracy of k-mer-based lowest common ancestor species identification.
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              Text: 2018 Oct 30
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