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Scientific topics: Workflows 

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City: Bogota  or Brussels  or Nijmegen  or Liverpool  or London  or Philadelphia  or Leiden 

  • Workflow4experimenters (W4E) course 2020

    3 - 7 February 2020

    Brussels, Belgium

    Workflow4experimenters (W4E) course 2020 https://tess.elixir-europe.org/events/workflow4experimenters-w4e-course-2020 Analyze your own data with Galaxy and the Workflow4metabolomics e-infrastructure! The next Workflow4Experimenters international course (W4E2020) will take place in Brussels. During this one-week course, you will learn how to use Galaxy and the W4M infrastructure to analyze your own LC-MS, GC-MS, or NMR data set. Morning sessions will be dedicated to methodology and tools. Afternoon sessions will be devoted to tutoring. Invited speakers: Dr S. Marr (Leibniz Institute of Plant Biochemistry, Germany), Dr R. Weber (Phenome Centre Birmingham, United Kingdom), Dr N. Poupin (Unité Toxalim, INRA Toulouse, France) The deadline for pre-registration has been postponed to November 03rd. 2020-02-03 12:00:00 UTC 2020-02-07 12:00:00 UTC MetaboHUB, ELIXIR-FR and ULB Brussels, Brussels, Belgium Brussels Brussels Belgium Workflows Data submission, annotation and curation Statistics and probability Bioinformatics Metabolomics [] contact@workflow4metabolomics.org MetaboHUBELIXIR-FRCentre For Fine Arts BrusselsUniversité Libre de BruxellesNational Funds National of Scientific Research (Belgium)Francophone Networf of Metabolomics and Fluxomics Beginners 25 workshops_and_courses [] []
  • Automated Workflow Composition in the Life Sciences

    9 - 13 March 2020

    Leiden, Netherlands

    Automated Workflow Composition in the Life Sciences https://tess.elixir-europe.org/events/automated-workflow-composition-in-the-life-sciences In the age of computational science, researchers in the life sciences – just as in other domains – regularly face the need of composing several individual software tools into pipelines or workflows that perform the specific data analysis processes that they need in their research. For over 20 years now, dedicated scientific workflow management systems have been supporting scientists in this task, and they continue to gain popularity. In fact, recent years have seen significant progress in the functional annotation of bioinformatics software tools, as well as their virtualization, containerization and assembly into workflows for automatically executing the processes. At least since the rise of the Semantic Web in the early 2000s, also the idea of semantics-based automated composition of workflows has been around to simplify the work with scientific workflows further and free life science researchers from having to deal with the technicalities of software composition. This would not only save valuable research time, but also reduce errors, allow benchmarking of data analysis pipelines and enable new scientific findings by discovering workflows that researchers would not have thought of themselves. However, despite its obvious potential and appeal, the need for optimizing data analysis workflows, and despite different research groups working on the topic, automated workflow composition has not yet arrived in the daily practice of life science researchers. The reasons for this are manifold. Some are more practical (for example the lack of automatic composition tools in the commonly used software frameworks), others are of more fundamental nature (such as questions on specification languages, composition algorithms, formal semantics and workflows representations). On one important aspect, namely the semantic annotation of tools on a large scale, the life science community has made significant progress in the last years: The EDAM ontology provides a controlled vocabulary of bioinformatics operations, data types and formats, and the bio.tools registry has become a large collection of bioinformatics tools that are semantically annotated with terms from the EDAM ontology. As demonstrated in a recent Bioinformatics publication (https://academic.oup.com/bioinformatics/article/35/4/656/5060940), this forms a solid basis for performing automated workflow composition in the life sciences domain. Nevertheless, it is still a long way to its use in daily scientific practice. This workshop will bring together researchers and practitioners who have been working on different aspects related to automated workflow composition in the life sciences. These include life science researchers, tool providers, infrastructure developers, ontologists, algorithmics researchers and many more. They do not normally come together as a group at the regular scientific events, so a Lorentz workshop devoted to this topic provides a unique opportunity to join forces and together significantly advance the field. 2020-03-09 09:00:00 UTC 2020-03-13 17:00:00 UTC Jon Ison, Anna-Lena Lamprecht, Magnus Palmblad and Veit Schwämmle Lorentz Center Oort, Leiden, Netherlands Lorentz Center Oort Leiden Netherlands 2333 Omics Workflows Leiden University reinards@lorentzcenter.nl ELIXIRLorentz CenterLUMC software developers, bioinformaticiansbiocurators 50 workshops_and_courses [] []
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