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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| ISSN: | 1474-760X |
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| DOI: | 10.1186/s13059-018-1554-6 |
