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Our Mission:One of the most challenging goals of modern biology is to decipher and describe the complexity of cell systems. Recently, research on system biology has been characterized by an increasing number of efforts to define common languages for sharing information, develop tools to describe accurate models, run effective simulations, visualize, analyze and integrate high-throughput data. Pathways are used to study omics datasets through pathway analysis that aims at identifying groups of functionally related genes that show coordinated changes. Recently, pathway analysis moved from algorithms that analyzed only gene sets to more complex ones that exploit the topology of the biological circuits. The mission of our group is to make this type of analysis easily accessible even for people without a bioinformatics background. We exploit methods that we recently developed, graphite (Sales, Calura et al. 2012), topologyGSA (Massa et al. 2010) and CliPPER (Martini et al. 2012), plus other available tools in order to construct a pathway analysis platform easily accessible and extensible to new topological and non-topological analyses.
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