Genomics and Biology of Fruit Crop Department
Research and Innovation Centre - Fondazione Edmund Mach
Via E. Mach 1, 38010 - S. Michele all’Adige (TN), Italia
phone +39 0461 615 371
Education and training
MSc thesis in Agro-Industrial Biotechnology, under the supervision of Prof. M. Pezzotti in collaboration with Dr. C. Moser (FEM - IT), was focused on bioinformatic and molecular studies of the roles of some ethylen regulated transcription factors (ERFs) during Vitis vinifera, L. Ripening.
My research work deals with the inference of the cellular regulatory gene networks starting from observational data (gene expression data) using an algorithm developed in the social-science.
University and Department: University of Trento
PhD Schools/Programme: Information and Communication Technology Doctoral School ICT Doctoral School
PhD project/thesis: Inferring causal regulatory networks from observational gene expression and biochemical data
ABSTRACT - Gene expression data generated by microarray experiments has recently posed the issue of reverse engineering gene regulatory networks. Expression data can be either derived by experimental manipulation or can be derived by simple observation of the natural variation of the biological system under study. In public databases observational data are more abundant than experimental data, but the inference of causal gene networks from this type of data remains quite challenging. During my Phd project I will propose the implementation of the PC-algorithm specifically tailored to trascriptomic observational data, in order to identify causal regulatory relationships between genes.
PhD Advisors: Claudio Moser (FEM), Enrico Blanzieri (University of Trento)