The huge amount of information generated collectively by next generation sequencers imposes new challenges on computational analysis. The petabyte scale of this 'big data' generation requires introducing parallelised computing and other high performance computing strategies to effectively analyse the wealth of generated information. At this point, bioinformatics groups are taking initiative to work on parallelising existing and new software tools and libraries. To prevent duplication of effort, and sub-optimal solutions, a concerted cross-project inter-disciplinary approach is required from the domains of bioinformatics and high performance computing. This COST Action will coordinate research in genomics, metabolomics and proteomics 'big data' analysis, ensuring that available information and techniques are exploited in an efficient manner, with direct application in the life sciences, medicine and human health.
keywords: Bioinformatcs, HPC, Open Source Software, Parallel Computing, Life sciences
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