New Genomics Pipeline Combines AWS, Local HPC, and Supercomputing
Declining DNA sequencing costs and the rush to do whole genome sequencing (WGS) of large cohort populations – think 5000 subjects now, but many more thousands soon – presents a formidable computational challenge to researchers attempting to make sense of large cohort datasets. No single architecture is best. This month researchers report developing a hybrid approach that combines cloud (AWS), local high performance compute (LHPC) clusters, and supercomputers.
Their fascinating paper, A hybrid computational strategy to address WGS variant analysis in >5000 samples, spells out in some detail the obstacles associated with using each resource and how to divide the work to maximize throughput and minimize cost. Read more…
Tiffany Trader
John Russell
George Leopold
Thomas Sterling, Ph.D
Bill Gropp, Ph.D
James Reinders
Gary Johnson
Michael Wolfe
