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We describe an iterative workflow using two different pieces of software for the creation and redesign of interfaces and distributed simulation and evaluate this approach.
To address this limitation, a hybrid modelling workflow was developed in which numerical rules representing the process of differential compaction are used explicitly to condition an iterative workflow containing traditional geostatistical facies modelling algorithms.
This goes against the vision of agile "pluggable", component-oriented, iterative workflow construction, central to scientific computational use cases.
The software supports the integration of data from various sources and provides several complementary analysis and visualization modules (Figure 1). Figure 1 Iterative Workflow.
The setup of the iterative workflow is highly dynamic, which allows capitalizing on the developing databases.
Finally, we benchmarked the developed iterative workflow by comparing the predictions obtained with other search strategies.
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Application of this iterative search workflow showed an increase in spectral identifications when compared to that obtained with the synthetic metagenome and the earlier described matched metagenome searches.
The iterative recombineering workflow generated single, double and triple-tagged constructs for both the mTFP1/mCitrine/mCherry and F-CFP/F-YFP/Mc-mCherry FP combinations (Additional file 1: Figure S4 and Figure 2).
Because of this unified workflow, iterative design optimization can be naturally integrated.
It enables users to perform automated optimizations of force field parameters for atomistic molecular simulations by an iterative, gradient-based optimization workflow.
Figure 4 Molecule curation and atom signature descriptor generation workflow: The Iterative SDfile Reader takes the Structure-Data File (SDF) of compounds ( Input SDF ) as input and pass the structures down the workflow for molecule curation and atom signature generation.
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