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High-Throughput GRID Computing for Life Sciences
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Author(s): Giulia De Sario (Istituto di Tecnologie Biomediche, CNR, Italy), Angelica Tulipano (Istituto di Tecnologie Biomediche, CNR, Italy), Giacinto Donvito (INFN, Sezione di Bari, Italy), Giorgio Maggi (INFN Bari, Italy & Università e Politecnico di Bari, Italy)and Andreas Gisel (Istituto di Tecnologie Biomediche, CNR, Italy)
Copyright: 2012
Pages: 20
Source title:
Grid and Cloud Computing: Concepts, Methodologies, Tools and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-0879-5.ch404
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Abstract
The number of fully sequenced genomes increases daily, producing an exponential explosion of the sequence, annotation and metadata databases. Data analysis on a genome-wide level or investigation within a specific data repository has become a data- and calculation-intensive process occupying single computers and even larger computer clusters for month or even years. In most cases such applications can be subdivided into many independent smaller tasks. The smaller tasks are particularly suited to distribution over a computational GRID infrastructure, which drastically reduces the time to reach the final result. In our analysis of gene ontology data and their associations to gene products of any kind of organism in a search to find gene products with similar functionalities, we developed a system to divide the full search into a large number of jobs and to submit these jobs to the GRID infrastructure as long as all jobs are processed successfully, guaranteeing an analysis of the data without missing any information.
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