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The RAGNO Group

{R}everse-engineering and {A}nalysis of {G}enome-scale {N}etw{O}rks

"How can researchers assess how well they are describing the networks of interacting molecules that underlie biological systems?"

Answering this question is the main goal of the DREAM (Dialogue for Reverse Engineering Assessments and Methods) project. For that purpose, the DREAM project launched a new international competition on 'reverse engineering biological networks' in which 36 teams from all over the world participated.

Using a variety of techniques such as linear algebra and non-linear optimization, the RAGNO group obtained results that were ranked first place in 6 categories! RAGNO was the only team winning in more than one category. If you are interested in learning about the methods employed by the RAGNO group, please download the poster.

Evaluate your DREAM results using our evaluation tool

Meet the student DREAM Team participating in the DREAM3 Competition

Research Description

The focus of this group is on developing algorithms for Gene Network inference by integrative analysis of gene expression and genotyping data, as well as metabolic and Protein Interaction Networks from metabolomics and proteomics data, respectively. Inferred network topologies will be investigated using tools from complex network analysis. Dynamic capabilities of these large networks will be studied using general kinetic models. The goal of these studies is to gain insight into organizational principles governing the fundamental properties of living systems, such as robustness and evolvability, and eventually to understand macroscopic phenotypes, such as disease susceptibility and resistance, in terms of regulatory networks.