Title: NetAtlas: a Cytoscape plugin to examine signaling networks based on tissue gene expression.

Authors: Yang, Longlong; Walker, John R; Hogenesch, John B; Thomas, Russell S

Published In In Silico Biol, (2008)

Abstract: Graphical methods are useful for visualizing signaling networks derived from the synthesis of large bodies of literature information or large-scale experimental measurements. Software tools to filter and organize these networks allow the exploration of their inherent biological and structural properties. We have developed NetAtlas, an open-source, Java-based Cytoscape plugin for examining signaling networks in the context of tissue gene expression patterns. The tissue gene expression data available through NetAtlas consists of 79 human tissues, 61 mouse tissues, and 44 combined tissues from 3 rat strains. Users may also import their own tissue gene expression data. The NetAtlas plugin allows the creation of tissue-defined signaling networks by identifying which components are expressed in particular tissues, which components show tissue-specific expression, and which components within the network are coordinately expressed across tissues. The NetAtlas plugin is available at http://sourceforge.net/projects/netatlas/.

PubMed ID: 18430989

MeSH Terms: Adenocarcinoma/genetics*; Algorithms*; Animals; Colorectal Neoplasms/genetics*; Computer Simulation; Gene Expression Profiling; Gene Expression Regulation, Neoplastic/physiology*; Humans; Mice; Protein Interaction Mapping/methods*; Rats; Signal Transduction/genetics*; Software