MetScape 2.1.1 has been released

[Tim Hull]

The MetScape plugin team at NCIBI, University of Michigan, is pleased
to announce a new version of the MetScape plugin, version 2.1.1. You
can download the plugin through the Cytoscape application’s Plugin
Manager or from cytoscape.org (where it is labeled 2.11).

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 2.1.1 has two additional features: a pathway filter, that can
be found in a separate tab next to Network Attributes, and a panel
containing information and links that can be opened by double clicking
on any node or edge. Version 2.1.1 also contains some 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.