Shin Young Ahn , Byoung Seob Kim , Hyun Hwa Choi , Seung Hyub Jeon , Seung Jo Bae , Wan Choi

KIPS Transactions on Software and Data Engineering, Vol. 2, No. 2, pp. 97-106, Feb. 2013
10.3745/KTSDE.2013.2.2.97,   PDF Download:

Abstract

Since human genome project finished, the cost for human genome analysis has decreased very rapidly. This results in the sharp increase of human genome data to be analyzed. As the need for fast analysis of very large bio data such as human genome increases, non IT researchers such as biologists should be able to execute fast and effectively many kinds of bio applications, which have a variety of characteristics, under HPC environment. To accomplish this purpose, a biologist need to define a sequence of bio applications as workflow easily because generally bio applications should be combined and executed in some order. This bio workflow should be executed in the form of distributed and parallel computing by allocating computing resources efficiently under HPC cluster system. Through this kind of job, we can expect better performance and fast response time of very large bio data analysis. This paper proposes a workflow-based data analysis system specialized for bio applications. Using this system, non-IT scientists and researchers can analyze very large bio data easily under HPC environment.

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