Using ontologies for preprocessing and mining spectra data on the grid
Future Generation Computer Systems - Special section: Data mining in grid computing environments
IMPRECO: Distributed prediction of protein complexes
Future Generation Computer Systems
Protein-to-protein interactions: Technologies, databases, and algorithms
ACM Computing Surveys (CSUR)
Challenges in microarray data management and analysis
CBMS '11 Proceedings of the 2011 24th International Symposium on Computer-Based Medical Systems
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The omics term refers to different biology disciplines such as, for instance, genomics, proteomics, or interactomics. The suffix -ome is used to indicate the objects of study of such disciplines, such as the genome, proteome, or interactome, and usually refers to a totality of some sort. This paper introduces omics data and the main computational techniques for their storage, preprocessing and analysis. The increasing availability of omics data due to the advent of high throughput technologies poses novel issues on data management and analysis that can be faced by parallel and distributed storage systems and algorithms. After a survey of main omics databases, preprocessing techniques and analysis approaches, the paper describes some recent bioinformatics tools in genomics, proteomics and interactomics that use a distributed approach.