Home > Workload Solutions > High Performance Computing > White Papers > Dell Validated Design for Health Care and Life Sciences with Dell PowerEdge C6520 and XE8545 > Methodology
To determine the recommended software and hardware configuration capable of keeping pace with the daily output of the latest NGS instrumentation, three test cases were evaluated. For each case, the observed wall clock time was recorded for BWA-GATK Germline Variant Calling pipeline, and Clara Parabricks analysis pipelines using different resource configurations, data layouts, and sample data.
Data for benchmarking secondary analysis runtime consisted of three human whole genome seq (WGS) datasets, ERR091571, SRR3124837, and ERR194161, representing 10X, 30X, and 50X sample coverage respectively. These datasets are available at the European Nucleotide Archive (ENA).