ASA3P: An automatic and scalable pipeline for the assembly, annotation and higher-level analysis of closely related bacterial isolates
Table 2
Wall clock runtimes for each ASA3P version utilizing different hardware infrastructures and benchmark dataset sizes.
Provided are best-of-three wall clock runtimes for complete ASA3P executions analyzing Listeria monocytogenes benchmark datasets comprising 32 and 1,024 isolates given in hh:mm:ss format. Docker: a single virtual machine with 32 vCPUs and 64 GB memory was used. Analysis of the 1,024 isolate dataset was not feasible due to memory limitations; HPC: ASA3P automatically distributed the workload to an SGE-based high-performance computing cluster comprising 20 nodes providing 40 cores and 256 GB memory each; Cloud: ASA3P was executed in an OpenStack based cloud computing project comprising 560 vCPUs and 1,280 GB memory in total. Runtimes in parenthesis exclude build times for automatic infrastructure setups, i.e. the pure ASA3P wall clock runtimes.