Design Of Bio-Cloud Service For Genomic Analysis Based On Virtual Infrastructure
Computer Sciences and Convergence Information Technology(2012)
Abstract
Recently the importance of genomic data analysis is growing to realize the personalized treatment of human cancers. Next generation sequencing (NGS) technique is a cost-effective way to get such data sets for the cancer data analysis. Hence, most of bioinformatics research groups use NGS technique to process their study. Since NGS produces data sets of lots of short reads, it requires more computing resources to analyze those sets of data. To solve this issue, cloud computing is a candidate that can elastically manage the requirement of computing resources. In this paper, we propose a bio-cloud service for large scale NGS data analysis based on virtualized computing infrastructure. It has been developed by collaboration of KISTI and KOBIC to enhance the productivity of KOBIC's RNA re-sequencing study.
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Key words
bioinformatics,cancer,cloud computing,genomics,KISTI,KOBIC,biocloud service,bioinformatics,cancer data analysis,cloud computing,genomic data analysis,human cancer treatment,next generation sequencing,virtual infrastructure,
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