SPIKE – a database, visualization and analysis tool of cellular signaling pathways (2008)
Elkon, Ran, Vesterman, Rita, Amit, Nira, Ulitsky, Igor, Zohar, Idan, Weisz, Mali, ...
Abstract Background Biological signaling pathways that govern cellular physiology form an intricate web of tightly regulated interlocking processes. Data on these regulatory networks are accumulating...
Ulitsky, Igor, Gat-Viks, Irit, Shamir, Ron
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...
Identification of functional modules using network topology and high-throughput data (2007)
Abstract Background With the advent of systems biology, biological knowledge is often represented today by networks. These include regulatory and metabolic networks, protein-protein interaction...
Network-based prediction of protein function
Sharan, Roded, Ulitsky, Igor, Shamir, Ron
Functional annotation of proteins is a fundamental problem in the post-genomic era. The recent availability of protein interaction networks for many model species has spurred on the development of...
The biological interpretation of genetic interactions is a major challenge. Recently, Kelley and Ideker proposed a method to analyze together genetic and physical networks, which explains many of the...
SPIKE – a database, visualization and analysis tool of cellular signaling pathways
Elkon, Ran, Vesterman, Rita, Amit, Nira, Ulitsky, Igor, Zohar, Idan, Weisz, Mali, ...
Ulitsky, Igor, Gat-Viks, Irit, Shamir, Ron
A new computational tool is presented that allows the integration of high-throughput experimental results with the probabilistic modeling of previously obtained information about cellular systems....
From E-MAPs to module maps: dissecting quantitative genetic interactions using physical interactions
Ulitsky, Igor, Shlomi, Tomer, Kupiec, Martin, Shamir, Ron
Recent technological breakthroughs allow the quantification of hundreds of thousands of genetic interactions (GIs) in Saccharomyces cerevisiae. The interpretation of these data is often difficult,...