Current trends in the bioinformatic sequence analysis of metabolic pathways in prokaryotes

Briefings in Bioinformatics

Volumn 9, Issue 1, 2008, Pages 34-45

  Brilli, Matteo ^a   Fani, Renato ^a   Liò, Pietro ^b  

^a UNIVERSITY OF FLORENCE   (Italy)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Bioinformatics; Metabolic engineering; Pathway

Indexed keywords

BACTERIAL DNA; HISTIDINE; HISTIDINOL PHOSPHATASE; BACTERIAL PROTEIN;

ACCURACY; BACILLUS SUBTILIS; BACTERIAL GENETICS; BACTERIAL METABOLISM; BAYES THEOREM; BIOINFORMATICS; COMPUTER PROGRAM; DNA SEQUENCE; ESCHERICHIA COLI; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC ALGORITHM; INFORMATION PROCESSING; LACTOCOCCUS LACTIS; MACHINE LEARNING; MAXIMUM LIKELIHOOD METHOD; MONTE CARLO METHOD; NONHUMAN; OPEN READING FRAME; OPERON; ORTHOLOGY; PARALOGY; PHENOTYPE; PREDICTION; PROMOTER REGION; PROTEIN MOTIF; PROTEIN PROTEIN INTERACTION; REVIEW; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; SEQUENCE HOMOLOGY; TREND STUDY; BACTERIAL PHENOMENA AND FUNCTIONS; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; FORECASTING; GENETICS; METABOLISM; METHODOLOGY; PHYSIOLOGY; PROTEIN ANALYSIS; SIGNAL TRANSDUCTION;

PROKARYOTA;

BACTERIAL PHYSIOLOGY; BACTERIAL PROTEINS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; FORECASTING; MODELS, BIOLOGICAL; PROTEIN INTERACTION MAPPING; SEQUENCE ANALYSIS; SIGNAL TRANSDUCTION;

EID: 38049170706     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/bbm051     Document Type: Review

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