Electronic address: 5 Department of Vascular Surgery, Sant'Anna Hospital, Via Pio X, Catanzaro, Italy. Electronic address: 4 Department of Clinical and Experimental Medicine, University Magna Graecia of Catanzaro, Unit of Vascular Surgery, Viale Europa 88100 Catanzaro, Italy. Electronic address: 3 Department of Clinical and Experimental Medicine, University Magna Graecia of Catanzaro, Unit of Vascular Surgery, Viale Europa 88100 Catanzaro, Italy. Electronic address: 2 Department of Vascular Surgery, Sant'Anna Hospital, Via Pio X, Catanzaro, Italy. 1 Department of Clinical and Experimental Medicine, University Magna Graecia of Catanzaro, Unit of Vascular Surgery, Viale Europa 88100 Catanzaro, Italy.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). He published three books and more than 200 papers in international journals and conference proceedings. He was guest editor of several special issues on bioinformatics and he is serving as a program committee member of several conferences. 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. His current research interests include bioinformatics, medical informatics, data analytics, parallel and distributed computing. 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.
#UNIVERSITA MAGNA GRAECIA CATANZARO FULL#
Mario Cannataro is a Full Professor of Computer Engineering and Bioinformatics at University “Magna Graecia” of Catanzaro, Italy. Some real cases regarding the statistical and data mining analysis of DMET SNPs datasets for pharmacogenomics studies in cancer research are also presented. 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.). The talk introduces main omics data (e.g. 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.
#UNIVERSITA MAGNA GRAECIA CATANZARO SOFTWARE#
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. 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. 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. 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. Genomics, proteomics, and interactomics refer to the study of the genome, proteome and interactome of an organism. Title: High Performance Data Mining Analysis of Omics and Clinical Data: Experiences at University Magna Graecia of Catanzaro
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