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Updated: Mar 3, 2026
A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
MOST-visualization: software for producing automated textbook-style maps of genome-scale metabolic networks
James J Kelley1, Shay Maor1, Min Kyung Kim1
1Department of Computer Science, Center for Computational and Integrative Biology, Rutgers University, Camden, NJ 08102, USA.
Summary:
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).
Availability And Implementation:
MOST is distributed for free on the GNU General Public License. The software and full documentation are available at http://most.ccib.rutgers.edu/.
Contact:
dslun@rutgers.edu.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
