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Conference Paper
A Workflow for Parallel and Distributed Computing of Large-Scale Genomic Data
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- Authors
- Hyun-Hwa Choi, Byoung-Seob Kim, Shin-Young Ahn, Seung-Jo Bae
- Issue Date
- 2013-03
- Citation
- International Conference for Internet Technology and Secured Transactions (ICITST) 2013, pp.215-218
- Language
- English
- Type
- Conference Paper
- Abstract
- 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 Keywords
- Computer clusters, Data sets, Genomic Data, Next Generation Sequencing(NGS), Parallel and Distributed Computing, Semi-Automated, Sequence data, Whole Genome Sequence, Workflow systems, automated workflow, data workflow