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Bioinformaticians and data scientists, rely on computational frameworks (e.g. snakemake,
nextflow, CWL, WDL) to
process, analyze and integrate data of various types. Such frameworks allow scientists to combine software and
custom tools of different origin in a unified way, which lets them reproduce the results of others, or reuse the
same pipeline on different datasets.
One of the fundamental issues is that the majority of the users execute multiple pipelines at the same time, or execute a multistep pipeline for a big number of datasets, or both, making it hard to track the execution of the individual steps or monitor which of the processed datasets are complete. ![]() It can be used by: Data scientists, bioinformaticians, etc. that want to have a general overview of the progress of their pipelines and the status of their jobs Administrations that want to monitor their servers Web developers that want to integrate the service in bigger web applications. Note: ![]() |