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. |
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| 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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 30373669 AccessLevel: 2 PubType: Report PubTypeId: report PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: RefSeq database growth influences the accuracy of k-mer-based lowest common ancestor species identification. – Name: Author Label: Authors Group: Au 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. – Name: TitleSource Label: Source Group: Src 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. – Name: TypePub Label: Publication Type Group: TypPub Data: Letter; Research Support, N.I.H., Intramural; Research Support, U.S. Gov't, Non-P.H.S. – Name: TitleSource Label: Journal Info Group: Src 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 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=30373669 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13059-018-1554-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 165 Titles: – TitleFull: RefSeq database growth influences the accuracy of k-mer-based lowest common ancestor species identification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nasko DJ – PersonEntity: Name: NameFull: Koren S – PersonEntity: Name: NameFull: Phillippy AM – PersonEntity: Name: NameFull: Treangen TJ IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 10 Text: 2018 Oct 30 Type: published Y: 2018 Identifiers: – Type: issn-electronic Value: 1474-760X Numbering: – Type: volume Value: 19 – Type: issue Value: 1 Titles: – TitleFull: Genome biology Type: main |
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