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Article type: Research Article
Authors: Negishi, Yoshiteru; | Nakamura, Hiroyuki; | Yachie, Nozomu; | Saito, Rintaro; | Tomita, Masaru; ;
Affiliations: Institute for Advanced Biosciences, Keio University, Fujisawa, 252-8520, Japan | Bioinformatics Program, Graduate School of Media and Governance, Keio University, Fujisawa, 252-8520, Japan | Department of Environmental Information, Keio University, Fujisawa, 252-8520, Japan
Note: [] Corresponding author: 5322 Endo, Fujisawa, 252-8520 Kanagawa, Japan. Tel.: +81 466 475099; Fax: +81 466 47 5099; E-mail: rsaito@sfc.keio.ac.jp
Abstract: Analysis and visualization of biological networks, such as protein-protein and protein-DNA interactions, are crucially important toward obtaining a thorough understanding of living systems. Here, we present an integrative software platform, eXpanda, which enables an analysis of a very broad range of biological networks, with a special focus on the extraction of characteristic topologies which potentially function as units in the networks. eXpanda is provided as a Perl library which gives full-automatic connections to various biological databases via a Perl programmable interface and can perform topological analysis based on graph theory. The results of these analyses are visualizable by vector graphics. eXpanda is under GNU General Public License. Software package, detailed documentations, source codes, and some sample scripts are downloadable at http://medcd.iab.keio.ac.jp/expanda/.
Keywords: Interactome, network analysis, network visualization, Perl library, Scalable Vector Graphics (SVG)
Journal: In Silico Biology, vol. 7, no. 2, pp. 141-144, 2007
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