KEYWORD |
Gene Regulation Networks Model and Analysis based on Electronic Circuits
keywords BIOINFORMATICS, COMPLEX SYSTEMS, GENE EXPRESSION DATA ANALYSIS
Reference persons ALFREDO BENSO, STEFANO DI CARLO
External reference persons ALESSANDRO SAVINO (alessandro.savino@polito.it)
GIANFRANCO POLITANO (gianfranco.politano@polito.it)
Research Groups TESTGROUP - TESTGROUP
Thesis type EXPERIMENTAL AND SIMULATIONS, RESEARCH THESIS, RESEARCH, INNOVATIVE
Description Motivations:
Gene Regulation Networks (GRNs) are widely studied in order to provide a better understanding of genetic processes involved in diseases. Most of state-of-the-art models tend to simplify the biological behaviour of a GRN too much. Such simplification leads to an approximate modeling of the GRNs. The outcome the GRN analysis based on these models often partially covers the full biological behaviour of a GRN, loosing some important detail. Nowaday, no available tools are able to deal with the whole real GRNs complexity.
Goals:
To develop an innovative tool to model GRNs resorting to analog electronic circuits. The benefit is the ability of analog circuits to work with a continuous values domain, thus allowing to properly model the real biological behaviour.
Learning outcomes:
The student will learn how to design innovative analog circuits and to develop software tool for the simulation of electronic circuits.
Required skills C++ Programming skills, Analog Circuits knowledge
Deadline 15/03/2014
PROPONI LA TUA CANDIDATURA