The RAGNO Group
{R}everse-engineering and {A}nalysis of {G}enome-scale {N}etw{O}rks
| 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. |  |
Open Junior Position
DREAM competition 2007 winners
Challenge 3 and Challenge 4
Members
- Alberto de la Fuente (coord.)
- Giorgio Fotia
- Fabio Maggio
- Gianmaria Mancosu
- Enrico Pieroni
- Wieslawa Mentzen
Activities
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Network InferenceGene Network inference by integrative analysis of gene expression and genotyping data |
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Network AnalysisInvestigations using tools from complex network analysis |
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Growing NetworksTechniques for growing networks using models and evolution rules |
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Dynamics on NetworksDynamic capabilities of networks is studied using general kinetic models |