Abstract
Visualization of metabolites, reactions and pathways in genome-scale metabolic networks (GEMs) can assist in understanding cellular metabolism. Three attributes are desirable in software used for visualizing GEMs: (i) automation, since GEMs can be quite large; (ii) production of understandable maps that provide ease in identification of pathways, reactions and metabolites; and (iii) visualization of the entire network to show how pathways are interconnected. No software currently exists for visualizing GEMs that satisfies all three characteristics, but MOST-Visualization, an extension of the software package MOST (Metabolic Optimization and Simulation Tool), satisfies (i), and by using a pre-drawn overview map of metabolism based on the Roche map satisfies (ii) and comes close to satisfying (iii).
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CITATION STYLE
Kelley, J. J., Maor, S., Kim, M. K., Lane, A., & Lun, D. S. (2017). MOST-visualization: Software for producing automated textbook-style maps of genome-scale metabolic networks. Bioinformatics, 33(16), 2596–2597. https://doi.org/10.1093/bioinformatics/btx240
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