E-Flux2 and sPOT: Validated methods for inferring intracellular metabolic flux distributions from transcriptomic data

PLoS ONE

Volumn 11, Issue 6, 2016, Pages

  Kim, Min Kyung ^a   Lane, Anatoliy ^a   Kelley, James J ^a   Lun, Desmond S ^b  

^a RUTGERS UNIVERSITY   (United States)

^b UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALL POSSIBLE CARBON SOURCE MODEL; ARTICLE; BIOLOGICAL MODEL; CARBON METABOLISM; CARBON SOURCE; CELLULAR DISTRIBUTION; COMPARATIVE STUDY; DETERMINED CARBON SOURCE MODEL; E FLUX2; ESCHERICHIA COLI; EUKARYOTIC CELL; GENE EXPRESSION; GENETIC ALGORITHM; MEASUREMENT ACCURACY; METABOLIC FLUX ANALYSIS; NONHUMAN; PREDICTIVE VALUE; PROKARYOTIC CELL; SACCHAROMYCES CEREVISIAE; SIMPLIFIED PEARSON CORRELATION WITH TRANSCRIPTOMIC DATA; TRANSCRIPTOMICS; VALIDATION PROCESS; COMPUTER INTERFACE; GENETICS; INTRACELLULAR SPACE; METABOLISM; PROCEDURES; REPRODUCIBILITY; STATISTICS; VALIDATION STUDY;

TRANSCRIPTOME;

ESCHERICHIA COLI; INTRACELLULAR SPACE; METABOLIC FLUX ANALYSIS; REPRODUCIBILITY OF RESULTS; SACCHAROMYCES CEREVISIAE; STATISTICS AS TOPIC; TRANSCRIPTOME; USER-COMPUTER INTERFACE;

EID: 84976868799     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0157101     Document Type: Article

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