Computational Workflows and Workflow Engines

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Computational Workflows and Workflow Engines

Venue: Metabolomics 2016 Conference; Organiser: PhenoMeNal consortium together with experts from the Metabolomics community Prof. Mark ViantRalf Weber and Warwick Dunn; Date: 27th June 2016

Workshop Synopsis:

Computational analysis of high-dimension and high-volume metabolomics data is a complex, time-consuming process including many steps, some of which still being the focus of intense research. Workflow management environments applied in metabolomics and cross-omics analyses are therefore an essential requirement to allow standardisation of bioinformatics analysis, provide access to the metabolomics community, and produce high- quality, reproducible results in a time-effective manner: on the one hand, experimenters should be able to easily select the tools via a graphical interface, choose the parameters, run the workflow and save/share the results; on the other hand, developers should be able to integrate new tools seamlessly into the environment. A few open-source workflows have recently been applied in different environments including Galaxy-M, Workflow4Metabolomics, MetaDB and MetaboAnalyst. There is a growing need for the international metabolomics community to understand the availability and capability of these workflow environments, and provide input into on-going development and interoperability.

Target Audience: metabolomics data producers, researchers

Workshop Objectives:

  • Understanding different workflow environments
  • Current shortcomings and improvements that could help widen the adoption of these type of tools within the metabolomics community
  • Feedback from users