Microbial species delineation using whole genome sequences

Nucleic Acids Research

Volumn 43, Issue 14, 2015, Pages 6761-6771

  Varghese, Neha J ^a   Mukherjee, Supratim ^a   Ivanova, Natalia ^a   Konstantinidis, Konstantinos T ^b   Mavrommatis, Kostas ^c   Kyrpides, Nikos C ^a   Pati, Amrita ^a  

^a DOE JOINT GENOME INSTITUTE   (United States)

^b Georgia Institute of Technology   (United States)

^c CELGENE CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ALIGNMENT FRACTION METHOD; ANALYTIC METHOD; ARTICLE; GENE CLUSTER; GENE SEQUENCE; GENETIC ASSOCIATION; GENETIC VARIABILITY; GENOME WIDE AVERAGE NUCLEOTIDE IDENTITY METHOD; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MICROBIAL GENOME; MICROBIAL SPECIES IDENTIFIER METHOD; NONHUMAN; PHYLOGENY; PRIORITY JOURNAL; PROKARYOTE; SEQUENCE ANALYSIS; SPECIES IDENTIFICATION; TAXONOMY; VALIDATION STUDY; ARCHAEAL GENOME; ARCHAEON; BACTERIAL GENOME; BACTERIUM; CLASSIFICATION; CLUSTER ANALYSIS; GENETICS; GENOMICS; LISTERIA MONOCYTOGENES; PROCEDURES;

ALGORITHMS; ARCHAEA; BACTERIA; CLASSIFICATION; CLUSTER ANALYSIS; GENOME, ARCHAEAL; GENOME, BACTERIAL; GENOMICS; LISTERIA MONOCYTOGENES; PHYLOGENY;

EID: 84946034354     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gkv657     Document Type: Article

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