Improving metabolic flux predictions using absolute gene expression data

BMC Systems Biology

Volumn 6, Issue , 2012, Pages

  Lee, Dave ^a   Smallbone, Kieran ^a   Dunn, Warwick B ^a   Murabito, Ettore ^a   Winder, Catherine L ^a   Kell, Douglas B ^a   Mendes, Pedro ^a,b   Swainston, Neil ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b VIRGINIA BIOINFORMATICS INSTITUTE   (United States)

Author keywords

Exometabolomics; Flux balance analysis; Metabolic flux; Metabolic networks; RNA Seq; Transcriptomics

Indexed keywords

SACCHAROMYCES CEREVISIAE;

MESSENGER RNA; TRANSCRIPTOME;

ARTICLE; BIOLOGICAL MODEL; BIOLOGY; GENETICS; GENOMICS; METABOLISM; METABOLOME; METHODOLOGY; SACCHAROMYCES CEREVISIAE;

COMPUTATIONAL BIOLOGY; GENOMICS; METABOLOME; MODELS, BIOLOGICAL; RNA, MESSENGER; SACCHAROMYCES CEREVISIAE; TRANSCRIPTOME;

EID: 84862301363     PISSN: None     EISSN: 17520509     Source Type: Journal    
DOI: 10.1186/1752-0509-6-73     Document Type: Article

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