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Impact of Concurrency on the Performance of a Whole Exome Sequencing Pipeline
[post]
2020
unpublished
Current high-throughput technologies -i.e. Whole Genome Sequencing (WGS), RNA-Seq, ChIP-Seq, etc. -generate huge amounts of data and their usage gets more widespread with each passing year. Complex analysis pipelines involving several computationally-intensive steps have to be applied on an increasing number of samples. Workflow Management Systems (WMSs) allow parallelization and a more efficient usage of computational power. Nevertheless, this mostly happens by assigning the available cores to
doi:10.21203/rs.3.rs-16453/v1
fatcat:ifzogk7sdvaebk7hx7fpexa4km