MetScape 2.3 released

[Tim Hull]

The MetScape plugin team at NCIBI, University of Michigan, is pleased
to announce a new version of the MetScape plugin, version 2.3. You can
download the plugin through the Cytoscape application’s Plugin
Manager or from cytoscape.org.

MetScape provides a bioinformatics framework for the visualization and
interpretation of metabolomic data using Cytoscape. MetScape allows
users to build and analyze networks of genes and compound, 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 simply enter individual compounds/genes/
pathways (using KEGG, EHMN, or Entrez Gene IDs) to build metabolic
networks without loading a file. MetScape uses an internal relational
database stored at NCIBI that integrates data from KEGG and EHMN.

MetScape 2.3 supports searches by gene symbol and compound name in
addition to previously supported searches by ENTREZ gene ID and KEGG
compound ID.For compound names, if a partial match is found, the
dialog box will be displayed, prompting the user to select the correct
name from the list of partial matches. In addition to the above
changes, this release contains a few small GUI changes and some minor
bug fixes.

For more information contact the MetScape development team: metscape-
he...@umich.edu

This work developed at the University of Michigan, National Center for
Integrative Biomedical Informatics (NCIBI), under National Institutes
of Health Grant #U54DA021519.