GIM3E: condition-specific models of cellular metabolism developed from metabolomics and expression data | Zendy

Brian J. Schmidt | Zendy; Ali Ebrahim | Zendy; Thomas Metz | Zendy; Joshua Adkins | Zendy; Bernhard Ø. Palsson | Zendy; Daniel R. Hyduke | Zendy

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GIM3E: condition-specific models of cellular metabolism developed from metabolomics and expression data

Author(s) -

Brian J. Schmidt,

Ali Ebrahim,

Thomas Metz,

Joshua Adkins,

Bernhard Ø. Palsson,

Daniel R. Hyduke

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt493

Subject(s) - metabolomics , python (programming language) , computational biology , computer science , omics , transcriptome , metabolite , biology , bioinformatics , gene expression , gene , biochemistry , operating system

Genome-scale metabolic models have been used extensively to investigate alterations in cellular metabolism. The accuracy of these models to represent cellular metabolism in specific conditions has been improved by constraining the model with omics data sources. However, few practical methods for integrating metabolomics data with other omics data sources into genome-scale models of metabolism have been developed.

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