The CanOE strategy: Integrating genomic and metabolic contexts across multiple prokaryote genomes to find candidate genes for orphan enzymes

PLoS Computational Biology

Volumn 8, Issue 5, 2012, Pages

  Smith, Adam Alexander Thil ^a,b,c   Belda, Eugeni ^a,b,c   Viari, Alain ^d   Medigue, Claudine ^a,b,c   Vallenet, David ^a,b,c  

^a DIF   (France)

^b CNRS   (France)

^c UNIVERSITÉ D EVRY VAL D ESSONNE   (France)

^d INRIA RHÔNE ALPES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALLANTOIN; ASSOCIATION REACTIONS; BIOINFORMATICS; ENZYMES; ESCHERICHIA COLI; GENES; METABOLISM;

ANNOTATION TOOL; CANDIDATE GENES; CONTEXT DEPENDENT; ENZYMATIC ACTIVITIES; GENE FAMILIES; GENOMICS; METABOLIC REACTIONS; PROKARYOTE GENOMES; PROTEIN SEQUENCES; SEQUENCE-DEPENDENT;

GENOME;

MULTIENZYME COMPLEX;

ACCURACY; ALGORITHM; ANAEROBIC METABOLISM; ARTICLE; BACTERIAL GENOME; BIOINFORMATICS; CONTROLLED STUDY; ENZYME ACTIVITY; ESCHERICHIA COLI; GENE LOCATION; GENE SEQUENCE; GENETIC ASSOCIATION; GENETIC CODE; GENETIC DATABASE; GENOME ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; METABOLITE; MOLECULAR PHYLOGENY; NONHUMAN; PREDICTION; PROKARYOTE; SENSITIVITY AND SPECIFICITY; SEQUENCE HOMOLOGY;

ESCHERICHIA COLI K12; PROKARYOTA;

EID: 84863669933     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002540     Document Type: Article

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