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It must be noted that camb does limit practitioners to a limited but easily used workflow to begin with.
Commonly used workflow tools for predictive modelling in drug discovery include KNIME [6, 7] and PipelinePilot [8], where KNIME is an open source software with proprietary extensions and PipelinePilot is a proprietary software application.
Professional-oriented software Pipeline Pilot is a productivity platform dealing with Big Data and one of the most commonly used workflow management types of software in pharmaceutical companies.
Specifically, we have used workflow systems to preprocess cancer-related data, like tumour/normal samples from the TCGA consortium [ 29], and to fully automate some steps of data analysis.
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Commonly used workflows, simple or complex, can be stored in recipe repositories and are available for every user.
Well-specified, generally used workflows of the underlying normalization process of chemical entity mentions to structures/databases are currently missing.
In the preparation phase, we extract the workflow paths separated by application domains, set weights to the mostly used workflows, and apply sequence mining.
It also allows exploring previously used workflows, cell lines, validated biomarkers and clinical surveys.
This is not new if you were already using Workflow.
Workflow analysis is simplified using workflow metrics, which help identifying problematic aspects of the workflow model.
We use workflow motifs [17], to enable relating workflows from one domain to other workflows by different domains.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com