MetScape 3 for Cytoscape
The MetScape 3 App for Cytoscape provides a bioinformatics framework for the visualization and interpretation of metabolomic and expression profiling data in the context of human metabolism. It allows users to build and analyze networks of genes and compounds, identify enriched pathways from expression profiling data, and visualize changes in metabolite data. Gene expression and/or compound concentration data can be loaded from file(s) (in CSV, TSV, or Excel formats), or the user can directly enter individual compounds/genes (using KEGG compound IDs or Entrez Gene IDs) to build metabolic networks without loading a file. MetScape uses an internal relational database that integrates data from KEGG and EHMN.
New in MetScape 3.1
MetScape 3.1 supports building and visualization of correlation networks, in addition to pathway networks. We developed a new method that uses the De-sparsified Graphical Lasso (DGlasso) modeling procedure to identify connectivity among large numbers of metabolites using fewer samples. DGlasso is implemented as part of our CorrelationCalculator program. DGlasso was developed in collaboration with George Michailidis and Sumanta Basu.
Launch/Install Cytoscape with MetScape 3 via Java Web Start (Requires Java 6 or higher)
Please report any problems to firstname.lastname@example.org
Karnovsky A, Weymouth T, Hull T, Tarcea VG, Scardoni G, Laudanna C, Sartor MA, Stringer KA, Jagadish HV, Burant C, Athey B, Omenn GS.
Metscape 2 Bioinformatics Tool for the Analysis and Visualization of Metabolomics and Gene Expression Data.
Bioinformatics. 2011 Nov 30