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The workflow coordination mechanism uses five domain specific agents to perform the workflow enactment services and a generic agent to control the system flow logic.
Once defined the HPC cluster to perform the workflow, the sequential applications runs on cluster front-end and parallel applications on a defined number of nodes of a given HPC cluster.
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As a random forest depends on the random seed used, we performed the workflow multiple times with different random seeds.
But performing the workflows proposed by Rasche et al. (2012) on a large database requires tree alignments to be executed extremely fast.
We then presented GensearchNGS, a software suite integrating various algorithms to perform the discussed workflow.
To perform the comparison, the workflow tool Pipeline Pilot from BIOVIA [13] was used.
The approximate times taken to perform the steps comprising the workflow are summarised as follows: patient scan (5 min); segmentation (10 20 min); model preparation (20 30 min); HoloLens upload and configuration (<1 min); and intraoperative manual registration (1 2 min).
In combination, the workflows perform the automated, high-throughput annotation and putative metabolite identification of electrospray LC-MS and UPLC-MS metabolomic datasets.
This tool is available at http://signalink.org/signalog and performs the same workflow that was presented in this study.
In this study, we re-performed the identification workflow with Build 36.2, and retrieved 1447 pairs.
The features of GensearchNGS are limited to those needed to perform the presented NGS diagnostics workflow.
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