상세정보
학술대회
A Workflow for Parallel and Distributed Computing of Large-Scale Genomic Data
- 발행일
- 201303
- 출처
- International Conference for Internet Technology and Secured Transactions (ICITST) 2013, pp.215-218
- 협약과제
- 13VS1300, 유전체 분석용 슈퍼컴퓨팅 시스템 개발, 최완
- 초록
- Workflow management systems are emerging as dominant solution in bioinformatics because they enable researchers to analyze the huge amount of data generated by modern laboratory equipment. The growth of genomic data generated by next generation sequencing (NGS) results in an increasing need to analyze data on distributed computer clusters. In this paper, we construct a semi-automated workflow system for the analysis of large-scale sequence data sets, describe a pipeline designed with parallel computation to perform the optimal computational steps required to analyze whole genome sequence data, and report the overall execution time of the pipeline using cores on multiple machines. © 2013 Infonomics Society.
- KSP 제안 키워드
- Computer clusters, Data sets, Genomic data, Laboratory equipment, Next-Generation Sequencing(NGS), Parallel and Distributed Computing, Semi-Automated, Sequence data, Whole Genome Sequence, Workflow system, automated workflow