Tuesday, 20 September 2016
Title: 'High-Performance Management and Analysis of Omics Data: Experiences at University Magna Graecia of Catanzaro'
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 procedures and structures for data preprocessing, analysis, and sharing. The resulting scenario comprises a set of methodologies and bioinformatics tools, often implemented as services, for the management and analysis of omics data stored locally or in geographically distributed biological databases.
The talk describes some (parallel and distributed) bioinformatics tools (micro-CS, DMET-Analyzer, DMET-Miner, coreSNP, etc.) for the preprocessing and analysis of genomics, proteomics and interactomics data, developed at the Bioinformatics Laboratory of the University Magna Graecia of Catanzaro.
Colloquium coordinators are Prof.dr. M. Aiello (e-mail :
Prof.dr. M. Biehl (e-mail:
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