Design Of Bio-Cloud Service For Genomic Analysis Based On Virtual Infrastructure

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.