Integrating high-throughput and computational data elucidates bacterial networks

Nature

Volumn 429, Issue 6987, 2004, Pages 92-96

  Covert, Markus W ^a,b   Knight, Eric M ^a   Reed, Jennifer L ^a   Herrgard, Markus J ^a   Palsson, Bernhard O ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACTERIA; COMPUTATIONAL METHODS; GENES; ITERATIVE METHODS; MATHEMATICAL MODELS; METABOLISM; NATURAL SCIENCES;

COMPUTATIONAL DATA; GENE EXPRESSIONS; METABOLIC NETWORKS;

BACTERIOLOGY;

COMPLEMENTARY DNA; RNA;

BACTERIUM;

ARTICLE; BACTERIAL GENETICS; BACTERIAL GROWTH; BIOSYNTHESIS; DATA BASE; ESCHERICHIA COLI; GENE EXPRESSION REGULATION; GENOME; METABOLISM; MODEL; NONHUMAN; NUCLEOTIDE SEQUENCE; PHENOTYPE; PRIORITY JOURNAL; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; TRANSCRIPTION REGULATION; AEROBIC METABOLISM; ANAEROBIC GROWTH; BACTERIAL GENE; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; GENETICS; GROWTH, DEVELOPMENT AND AGING;

BACTERIA (MICROORGANISMS); ESCHERICHIA COLI; NEGIBACTERIA;

AEROBIOSIS; ANAEROBIOSIS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; ESCHERICHIA COLI; GENE EXPRESSION PROFILING; GENES, BACTERIAL; MODELS, BIOLOGICAL; PHENOTYPE;

EID: 2342648924     PISSN: 00280836     EISSN: None     Source Type: Journal    
DOI: 10.1038/nature02456     Document Type: Article

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