Corso di Models and Methods for Bioinformatics: Applications in Genomics and Proteomics, Prof. Giuseppe Tradigo (inizio 27.11.2017)

Titolo: Models and Methods for Bioinformatics: Applications in Genomics and Proteomics
Few years ago, the Human Genome Project achieved the goal to obtain a map of our whole genome (i.e.DNA). We now have the whole genome of smaller organisms such as viruses, bacteria and insects and also of higher organisms such as mice, primates and humans, which gives biology and biotechnology researchers the unique opportunity of gathering valuable information about cell functions. The attention is now towards the comparison of different genomes, the study of the DNA translation into proteins, the extraction of meaningful patterns from DNA, mRNA and proteins and the interaction of these large molecules with the cell environment at various levels. Bioinformatics is a multi-disciplinary research field which tries to use computer science and computer engineering tools to study various aspects of the cell function and to extract information from different data sources related to life science. Moreover Precision and Personalized Medicine is a recent initiative which involves, clinicians, biologists and computer scientists to relate information extracted from huge biological and clinical datasets aiming to enhance treatment impact on patients and to discover new drugs for chronic diseases. In this course we will present experiences about the application of data models and information extraction techniques (e.g. machine learning) to proteins, genes and molecular data. We will describe problems about mass spectrometry data management, protein structure prediction and DNA/RNA (G-Quadruplex) structure prediction. Examples on how to design and implement a web-based prediction system will be given.
Short Bio:
Giuseppe Tradigo is a postdoc at DIMES Deptartment, Unical. He has been a Research Fellow at University of Florida, Epidemiology Department, working on a project about the integration of complete genomic information with phenotypical data from a large patients dataset with Genome-Wide Association Studies techniques. He has also been a visiting research student at the AmMBio Laboratory, University College Dublin, where he participated to the international CASP competition with a server for predicting protein structures. He obtained his Ph.D. in Biomedical and Computer Science Engineering at University of Catanzaro. His main research interests are big data and cloud models for health and clinical applications, genomic and proteomic structure prediction, data extraction and classification from biomedical data.
Lunedì 27 Novembre, 14-17
Venerdì 1 Dicembre, 14-17
Lunedì 4 Dicembre, 14-17
Mercoledì 6 Dicembre, 14-17
Cubo 44, Dimes, Auletta seminari al piano terra