May 16, 2016
Cartagena
A new generation of instruments and simulations has pervaded the experimentation area, creating a data deluge to be analyzed and processed. In bioinformatics, next-generation sequencing (NGS) technology, with its high-throughput capacity and low cost, has developed rapidly in recent years and has revolutionized biological and computer sciences. Access to parallel and massive amounts of sequencing data requires expertise/knowledge about scientific applications and technologies to use high-performance computing (HPC) resources and carry out data management and analysis tasks on large scale. HPC infrastructures such as clusters and clouds promise to deliver a significant reduction of computational time for running large experiments, for speeding-up the development time for new algorithms, for increasing the availability of new methods for the research community, and for supporting large-scale multi-centric collaborations. However, scalable and dynamic systems introduce challenges at the programming, architectural, data representation and management levels, which are often outside of the scope of bioinformatics researchers.
User Name : MANI
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