Metscape: a Cytoscape plug-in for visualizing and interpreting metabolomic data in the context of human metabolic networks
Author(s) -
Jing Gao,
V. Glenn Tarcea,
Alla Karnovsky,
Barbara R. Mirel,
Terry E. Weymouth,
Chris Beecher,
James D. Cavalcoli,
Brian D. Athey,
Gilbert S. Omenn,
Charles Burant,
H. V. Jagadish
Publication year - 2010
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/btq048
Subject(s) - upload , computer science , context (archaeology) , metabolic network , plug in , visualization , metabolomics , data mining , computational biology , information retrieval , database , bioinformatics , world wide web , biology , paleontology , programming language
Metscape is a plug-in for Cytoscape, used to visualize and interpret metabolomic data in the context of human metabolic networks. We have developed a metabolite database by extracting and integrating information from several public sources. By querying this database, Metscape allows users to trace the connections between metabolites and genes, visualize compound networks and display compound structures as well as information for reactions, enzymes, genes and pathways. Applying the pathway filter, users can create subnetworks that consist of compounds and reactions from a given pathway. Metscape allows users to upload experimental data, and visualize and explore compound networks over time, or experimental conditions. Color and size of the nodes are used to visualize these dynamic changes. Metscape can display the entire metabolic network or any of the pathway-specific networks that exist in the database.
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