Work

MetDraw: automated visualization of genome-scale metabolic network reconstructions and high-throughput data

Year: 2014

Type: article

Abstract: Motivation: Metabolic reaction maps allow visualization of genome-scale models and high-throughput data in a format familiar to many biologists. However, creating a map of a large metabolic model is a difficult and time-consuming process. MetDraw fully automates the map-drawing process for metabolic models containing hundreds to thousands of reactions. MetDraw can also overlay high-throughput ‘omics’ data directly on the generated maps. Availability and implementation: Web interface and source code are freely available at http://www.metdraw.com. Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.

Source: Bioinformatics

DOI: 10.1093/bioinformatics/btt758

Authors: Paul A. Jensen, Jason A. Papin

Institution: University of Virginia

Language: English

Topic: Microbial Metabolic Engineering and Bioproduction

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funders: National Science Foundation, National Institutes of Health, National Institute of General Medical Sciences

Award: Network Analysis of Pathogenicity in Pseudomonas aeruginosa