Colloquium Computer Science - Prof. Mario Cannataro University of Catanzaro

Title: High Performance Data Mining Analysis of Omics and Clinical Data: Experiences at University Magna Graecia of Catanzaro

Abstract:

Genomics, proteomics, and interactomics refer to the study of the genome, proteome and interactome of an organism. Such omics disciplines are gaining an increasing interest in the scientific community due to the availability of novel, high throughput platforms for the investigation of the cell machinery, such as mass spectrometry, microarray, next generation sequencing, that are producing an overwhelming amount of experimental omics data. On the other hand, the large volumes of omics data poses new challenges both for the efficient storage and integration of the data and for their efficient preprocessing and analysis. Moreover, both raw experimental data and derived information extracted by raw data are more and more stored in various databases spread all over the Internet, not fully integrated. Thus, managing omics data requires both support and spaces for data storing as well as algorithms and software pipelines for data preprocessing, analysis, and sharing. The resulting scenario comprises a set of methodologies and bioinformatics tools for the management and analysis of omics data stored locally or in geographically distributed biological databases. The talk introduces main omics data (e.g. gene expression and SNPs, mass spectra, protein-protein interactions), and describes some parallel and distributed bioinformatics tools for the preprocessing and statistical and data mining analysis of omics data, including those developed at the Bioinformatics Laboratory of the University Magna Graecia of Catanzaro (micro-CS, DMET-Analyzer, DMET-Miner, OSAnalyzer, coreSNP, GenotypeAnalytics, etc.). Some real cases regarding the statistical and data mining analysis of DMET SNPs datasets for pharmacogenomics studies in cancer research are also presented.

Bios:

Mario Cannataro is a Full Professor of Computer Engineering and Bioinformatics at University “Magna Graecia” of Catanzaro, Italy. He is the director of the Data Analytics research center, the chair of the Bioinformatics Laboratory, and the chair of the Bachelor Degree in Informatics and Biomedical Engineering, at University “Magna Graecia” of Catanzaro. His current research interests include bioinformatics, medical informatics, data analytics, parallel and distributed computing. He is a Member of the editorial boards of IEEE/ACM Transaction on Computational Biology and Bioinformatics, Briefings in Bioinformatics, High-Throughput, Encyclopaedia of Bioinformatics and Computational Biology, Encyclopaedia of Systems Biology. He was guest editor of several special issues on bioinformatics and he is serving as a program committee member of several conferences. He published three books and more than 200 papers in international journals and conference proceedings. Professor Cannataro is a Senior Member of IEEE, ACM and BITS, and a member of the Board of Directors for ACM Special Interest Group on Bioinformatics, Computational Biology, and Biomedical Informatics (SIGBIO).