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  • Data Carpentry Workshop 2020

    29 - 31 January 2020

    Heidelberg, Germany

    Data Carpentry Workshop 2020 https://tess.elixir-europe.org/events/educators-toby-hodges-florian-huber-thea-van-rossum-georg-zeller-hd-hub-fotis-e-psomopoulos-date-28-01-2019-30-01-2019-location-atc-computer-training-lab-contents-the-missing-step-between-data-collection-and-research-progress-is-a-lack-of-training-for-researchers-in-crucial-skills-for-effectively-managing-and-analysing-large-amounts-of-data-this-hands-on-workshop-teaches-researchers-the-fundamental-data-skills-they-need-to-conduct-their-work-and-provides-high-quality-domain-specific-training-covering-the-full-lifecycle-of-data-driven-research-the-domain-specific-approach-allows-participants-to-tailor-the-data-content-and-tools-to-reflect-the-specific-data-and-analysis-needs-of-different-areas-data-organisation-and-cleaning-introduction-to-r-data-analysis-and-visualisation-in-r-interacting-with-databases-from-r-data-analysis-with-applications-to-genomics-learning-goals-you-will-learn-how-to-organise-data-and-some-practices-for-more-effective-data-handling-to-effectively-clean-and-format-data-and-automatically-track-any-changes-to-use-r-to-handle-filter-and-summarise-tabular-data-to-use-the-split-apply-combine-concept-for-data-analysis-to-visualise-the-results-of-these-analyses-in-r-using-the-ggplot2-library-to-apply-all-of-the-concepts-in-an-exploratory-analysis-of-a-typical-biological-dataset-prerequisities-the-course-is-aimed-at-graduate-students-and-other-researchers-in-the-life-sciences-who-would-like-to-learn-good-practices-in-data-management-and-analysis-the-course-is-ideally-suited-to-students-without-prior-experience-in-computational-research-but-some-familiarity-with-working-with-tabular-data-on-a-computer-is-welcome-keywords-data-carpentry-r-tools-r Educators: Toby Hodges, Florian Huber, Thea Van Rossum, Georg Zeller, (HD-HuB) Fotis E. Psomopoulos Date: 28/01/2020 - 30/01/2020 Location: ATC Computer Training Lab Contents: The missing step between data collection and research progress is a lack of training for researchers in crucial skills for effectively managing and analysing large amounts of data. This hands on workshop teaches researchers the fundamental data skills they need to conduct their work, and provides high-quality, domain-specific training covering the full lifecycle of data-driven research. The domain-specific approach allows participants to tailor the data, content, and tools to reflect the specific data and analysis needs of different areas: - Data organisation and cleaning - Introduction to R - Data analysis and visualisation in R - Interacting with databases from R - Data analysis with applications to genomics Learning goals: You will learn... - how to organise data and some practices for more effective data handling - to effectively clean and format data and automatically track any changes - to use R to handle, filter, and summarise tabular data - to use the split-apply-combine concept for data analysis - to visualise the results of these analyses in R using the ggplot2 library - to apply all of the concepts in an exploratory analysis of a typical biological dataset Prerequisities: The course is aimed at graduate students and other researchers in the life sciences who would like to learn good practices in data management and analysis. The course is ideally suited to students without prior experience in computational research, but some familiarity with working with tabular data on a computer is welcome. Keywords: Data Carpentry, R Tools: R 2020-01-29 09:00:00 UTC 2020-01-31 17:00:00 UTC de.NBI Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany [] [] [] 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 [] []
  • Workshop Metagenomics

    1 May 2020

    Leiden, Netherlands

    Elixir node event
    Workshop Metagenomics https://tess.elixir-europe.org/events/workshop-metagenomics-50fa03ae-bc84-447a-92fe-b353cea33030 In deze cursus wordt een algemene achtergrond van metagenomics gegeven. Hands-on data-analyse is een belangrijk onderdeel: tijdens computer practica kan je 16S- en metagenoom datasets analyseren. De workflow van monstervoorbereiding, DNA-isolatie, selectie van platform, read mapping, annotatie en metagenoomassemblage wordt behandeld.… The post Workshop Metagenomics appeared first on Dutch Techcentre for Life Sciences. 2020-05-01 09:00:00 UTC 2020-05-01 00:00:00 UTC Leiden, Netherlands, Leiden, Netherlands Leiden, Netherlands Leiden Netherlands [] [] [] workshops_and_courses [] []
  • Analyse Next Generation Sequencing (NGS) data

    8 June 2020

    Leiden, Netherlands

    Elixir node event
    Analyse Next Generation Sequencing (NGS) data https://tess.elixir-europe.org/events/analyse-next-generation-sequencing-ngs-data Deze tweedaagse workshop geeft toepasbare up to date informatie over NGS. Verschillende platforms, de werking van sequencers en nucleïnezuur isolatie komen uitvoerig aan bod. De analyse van NGS data bij DNA en RNA sequencing wordt geïntroduceerd. Verschillende toepassingen zoals genoom… The post Analyse Next Generation Sequencing (NGS) data appeared first on Dutch Techcentre for Life Sciences. 2020-06-08 09:00:00 UTC 2020-06-08 00:00:00 UTC Leiden, Netherlands, Leiden, Netherlands Leiden, Netherlands Leiden Netherlands [] [] [] workshops_and_courses [] []
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