| KEYWORD |
Development of mathematical and probabilistic models for the analysis of gene expression data from Next Generation Sequencing technologies
keywords ALGORITHMS, BIONFORMATICS, GENETICS, MODELLING, SEQUENCING, STATISTICS
Reference persons ANDREA ACQUAVIVA, ELISA FICARRA
Research Groups ELECTRONIC DESIGN AUTOMATION - EDA
Thesis type DEVELOPMENT, MODELING
Description The thesis consists of the development of models to describe the gene expression. These models will be built on the basis of gene expression data coming from experiments of RNA sequencing conducted through next generation sequencing technologies. The models will be embedded in a tool whose the purpose is to detect and characterize alteration of gene transcription mechanisms responsible of pathologies like cancer and alzheimer.
Deadline 06/05/2012
PROPONI LA TUA CANDIDATURA