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Bioinformatics Advance Access originally published online on August 12, 2004
Bioinformatics 2005 21(3):396-398; doi:10.1093/bioinformatics/bth474
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Bioinformatics vol. 21 issue 3 © Oxford University Press 2005; all rights reserved.

Microarray data mining with visual programming

Tomaz Curk 1, Janez Demsar 1, Qikai Xu 3,4, Gregor Leban 1, Uros Petrovic 2, Ivan Bratko 1,2, Gad Shaulsky 3,4 and Blaz Zupan 1,3,*

1 Faculty of Computer and Information Science, University of Ljubljana Ljubljana, Slovenia
2 Jozef Stefan Institute Ljubljana, Slovenia
3 Department of Molecular and Human Genetics, Baylor College of Medicine Houston, TX 77030, USA
4 Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine Houston, TX 77030, USA

*To whom correspondence should be addressed.

Summary: Visual programming offers an intuitive means of combining known analysis and visualization methods into powerful applications. The system presented here enables users who are not programmers to manage microarray and genomic data flow and to customize their analyses by combining common data analysis tools to fit their needs.

Availability: http://www.ailab.si/supp/bi-visprog

Contact: blaz.zupan{at}fri.uni-lj.si

Supplementary information: http://www.ailab.si/supp/bi-visprog


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