title: MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data.
abstract: MetaReg http://acgt.cs.tau.ac.il/metareg/application.html 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.
authors.affiliation: School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel.
authors.forename: Igor
authors.initials: I
authors.lastname: Ulitsky
authors.forename: Irit
authors.initials: I
authors.lastname: Gat-Viks
authors.forename: Ron
authors.initials: R
authors.lastname: Shamir
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D007930:Leucine / Q000096:biosynthesis*; D008954:Models, Biological; D012441:Saccharomyces cerevisiae / Q000378:metabolism*; D012984:Software
chemical_list: D007930:Leucine