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The designed workflow is open-source and freely available (visit www.cellprofiler.org/imagingflowcytometry) and accompanied by step-by-step tutorials and example data sets online.
The designed workflow combines an automatic feature extraction method with an automatic, grid based change analysis.
This study proves the usefulness of the designed workflow, and shows the potential of leveraging natural language processing and knowledge graph technologies for geoscience.
As proof of principle, the designed workflow was applied to determine the changes during a storage experiment, achieving a two-fold identification increase in the number of significant peptides.
Using a well log data set, we demonstrate that the developed methodology and the designed workflow can produce finite state transducer models that interpret deepwater reservoir depositional environments adequately.
The initial results also show that the coupled atmosphere-ocean model, which is controlled by the designed workflow environment, is able to reproduce the Mediterranean Sea surface temperature when it is compared with the used CCSM3 initial and boundary conditions.
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It is responsible for pre-processing the data from previously designed workflows and for executing the sequence mining algorithm.
Our goal is to speed up the design of new workflows based on the history of previously designed workflows, hoping that past experiences may help to improve the quality of future workflows.
As previously discussed, the preparation phase is responsible for preparing the data from previously designed workflows, allowing the execution of the sequence mining algorithm over them.
Efforts in standardizing a workflow reference model and the gradual endorsement of those standards have also not precluded developers from designing workflow systems tailored to specific user needs.
This paper describes a rationale behind designing workflow systems based on the Unix make by showing a number of idioms useful for workflows comprising many tasks.
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