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Nucleic Acids Research Advance Access originally published online on May 14, 2008
Nucleic Acids Research 2008 36(Web Server issue):W332-W335; doi:10.1093/nar/gkn289
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Nucleic Acids Research, 2008, Vol. 36, No. suppl_2 W332-W335
© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Articles

MADNet: microarray database network web server

Igor Segota, Nenad Bartonicek and Kristian Vlahovicek*

Bioinformatics Group, Division of Biology, Faculty of Science, Zagreb University, Horvatovac 102a, 10000 Zagreb, Croatia

*To whom correspondence should be addressed. Tel: +385 14606276; Fax: +385 14606286; Email: kristian{at}bioinfo.hr

Received January 30, 2008. Revised April 11, 2008. Accepted April 28, 2008.

MADNet is a user-friendly data mining and visualization tool for rapid analysis of diverse high-throughput biological data such as microarray, phage display or even metagenome experiments. It presents biological information in the context of metabolic and signalling pathways, transcription factors and drug targets through minimal user input, consisting only of the file with the experimental data. These data are integrated with information stored in various biological databases such as NCBI nucleotide and protein databases, metabolic and signalling pathway databases (KEGG), transcription regulation (TRANSFAC©) and drug target database (DrugBank). MADNet is freely available for academic use at http://www.bioinfo.hr/madnet.

Present address: Igor Segota, Department of Physiology and Biophysics, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA Nenad Bartonicek, GlaxoSmithKline Research Centre, Zagreb, Croatia


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