Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli

Nature Communications

Volumn 7, Issue , 2016, Pages

  Kim, Minseung ^a,b   Rai, Navneet ^b   Zorraquino, Violeta ^b   Tagkopoulos, Ilias ^a,b  

^a University of California Davis   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACTERIAL PROTEIN; PROTEOME; TRANSCRIPTOME;

CELLS AND CELL COMPONENTS; COLIFORM BACTERIUM; CONCENTRATION (COMPOSITION); EXPERIMENTAL STUDY; GENE EXPRESSION; GENOMICS; GROWTH MODELING; PIPELINE; RECONSTRUCTION;

ARTICLE; BACTERIAL CELL; BACTERIAL GENOME; BACTERIAL GROWTH; BACTERIAL METABOLISM; COMPARATIVE STUDY; CONTROLLED STUDY; ESCHERICHIA COLI; GENE CONTROL; GENE EXPRESSION; GENE ONTOLOGY; GENOMICS; METABOLITE; METABOLOMICS; MOLECULAR MODEL; NONHUMAN; PREDICTION; PROTEIN PROTEIN INTERACTION; PROTEOMICS; TRANSCRIPTOMICS; BIOLOGICAL MODEL; BIOLOGY; ENVIRONMENT; GROWTH, DEVELOPMENT AND AGING; METABOLISM; PROCEDURES; VALIDATION STUDY;

ESCHERICHIA COLI;

COMPUTATIONAL BIOLOGY; ENVIRONMENT; ESCHERICHIA COLI; MODELS, BIOLOGICAL;

EID: 84990177186     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/ncomms13090     Document Type: Article

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