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MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data

Igor Ulitsky* 1 email, Irit Gat-Viks* 1,2 email and Ron Shamir1 email

1School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel

2Computational Molecular Biology Department, Max Planck Institute for Molecular Genetics, Ihnestrasse 73, D-14195 Berlin, Germany

author email corresponding author email* Contributed equally

Genome Biology 2008, 9:R1doi:10.1186/gb-2008-9-1-r1

Published: 2 January 2008

Subject areas: Bioinformatics, Genome studies, Methods

Abstract

MetaReg http://acgt.cs.tau.ac.il/metareg/application.html webcite is a computational tool that models cellular networks and integrates experimental results with such models. MetaReg represents established knowledge about a biological system, available today mostly in informal form in the literature, as probabilistic network models with underlying combinatorial regulatory logic. MetaReg enables contrasting predictions with measurements, model improvements and studying what-if scenarios. By summarizing prior knowledge and providing visual and computational aids, it helps the expert explore and understand her system better.


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