Microarray data mining with visual programming

Curk, Tomaz
Demsar, Janez
Xu, Qikai
Leban, Gregor
Petrovic, Uros
Bratko, Ivan
Shaulsky, Gad
Zupan, Blaz

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

Received on March 31, 2004; revised on June 16, 2004; accepted on August 7, 2004; Advance Access publication August 12, 2004

^*To whom correspondence should be addressed.

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

Contact: [email protected]

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

Bioinformatics 21(3):p 396-398, February 1, 2005.

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.