Embracing Ambiguity in the Taxonomic Classification of Microbiome Sequencing Data.

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Bibliographic Details
Title: Embracing Ambiguity in the Taxonomic Classification of Microbiome Sequencing Data.
Authors: Shah N; Department of Computer Science, University of Maryland, College Park, College Park, MD, United States.; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, College Park, MD, United States.; University of Maryland Institute for Advanced Computer Studies, College Park, MD, United States., Meisel JS; Department of Computer Science, University of Maryland, College Park, College Park, MD, United States.; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, College Park, MD, United States.; University of Maryland Institute for Advanced Computer Studies, College Park, MD, United States.; Center for Health-related Informatics and Bioimaging, University of Maryland, College Park, College Park, MD, United States., Pop M; Department of Computer Science, University of Maryland, College Park, College Park, MD, United States.; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, College Park, MD, United States.; University of Maryland Institute for Advanced Computer Studies, College Park, MD, United States.; Center for Health-related Informatics and Bioimaging, University of Maryland, College Park, College Park, MD, United States.
Source: Frontiers in genetics [Front Genet] 2019 Oct 17; Vol. 10, pp. 1022. Date of Electronic Publication: 2019 Oct 17 (Print Publication: 2019).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1664-8021
DOI:10.3389/fgene.2019.01022