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Nucleic Acids Research 2006 34(Web Server issue):W466-W471; doi:10.1093/nar/gkl308
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© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions@oxfordjournals.org


Article

BiologicalNetworks: visualization and analysis tool for systems biology

Michael Baitaluk1,*, Mayya Sedova2, Animesh Ray3 and Amarnath Gupta1

1 San Diego Supercomputer Center, University of California San Diego 9500 Gilman Drive, La Jolla, CA 92093, USA 2 7564 Charmant Drive, #1814 La Jolla, CA 92122, USA 3 Keck Graduate Institute, 535 Watson Drive Claremont, CA 91711, USA

*To whom correspondence should be addressed. Tel: +1 858 8225418; Fax: +1 858 5345152; Email: baitaluk{at}sdsc.edu

Received February 15, 2006. Revised March 2, 2006. Accepted March 11, 2006.

Systems level investigation of genomic scale information requires the development of truly integrated databases dealing with heterogeneous data, which can be queried for simple properties of genes or other database objects as well as for complex network level properties, for the analysis and modelling of complex biological processes. Towards that goal, we recently constructed PathSys, a data integration platform for systems biology, which provides dynamic integration over a diverse set of databases [Baitaluk et al. (2006) BMC Bioinformatics 7, 55]. Here we describe a server, BiologicalNetworks, which provides visualization, analysis services and an information management framework over PathSys. The server allows easy retrieval, construction and visualization of complex biological networks, including genome-scale integrated networks of protein–protein, protein–DNA and genetic interactions. Most importantly, BiologicalNetworks addresses the need for systematic presentation and analysis of high-throughput expression data by mapping and analysis of expression profiles of genes or proteins simultaneously on to regulatory, metabolic and cellular networks. BiologicalNetworks Server is available at http://brak.sdsc.edu/pub/BiologicalNetworks.


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