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A Scalable Pipeline for Transcriptome Profiling Tasks with On-Demand Computing Clouds
2016
2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
We introduce a pilot-based approach with which scalable data analytics essential for a large RNA-seq data set are efficiently carried out. Major development mechanisms, designed in order to achieve the required scalability, in particular, targeting cloud environments with on-demand computing, are presented. With an example of Amazon EC2, by harnessing distributed and parallel computing implementations, our pipeline is able to allocate optimally computing resources to tasks of a target workflow
doi:10.1109/ipdpsw.2016.129
dblp:conf/ipps/ShamsKMHJWK16
fatcat:dh6z5bslu5btpcvk6knddcfklu