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  • Ensembl Browser Workshop, Reykjavik, 1 October 2019

    1 October 2019

    Reykjavík, Iceland

    Elixir node event
    Ensembl Browser Workshop, Reykjavik, 1 October 2019 https://tess.elixir-europe.org/events/ensembl-browser-workshop-reykjavik-1-october-2019 Work with the Ensembl Outreach team to get to grips with the Ensembl browser, accessing gene, variation, comparative genomics and regulation data, and mine these data with BioMart. 2019-10-01 09:00:00 UTC 2019-10-01 17:00:00 UTC University of Iceland, Reykjavík, Iceland University of Iceland Reykjavík Iceland 101 [] Astrid Gall [] [] [] [] HDRUK
  • Ensembl REST API Workshop, Reykjavik, 2 October 2019

    2 October 2019

    Reykjavík, Iceland

    Elixir node event
    Ensembl REST API Workshop, Reykjavik, 2 October 2019 https://tess.elixir-europe.org/events/ensembl-rest-api-workshop-reykjavik-2-october-2019 Work with the Ensembl Outreach team to get to grips with the Ensembl browser, accessing gene, variation, comparative genomics and regulation data, and mine these data with BioMart. 2019-10-02 09:00:00 UTC 2019-10-02 15:00:00 UTC University of Iceland, Reykjavík, Iceland University of Iceland Reykjavík Iceland 101 [] Astrid Gall [] [] [] [] HDRUK
  • ELIXIR Innovation and SME Forum: Distributed Data Analysis - The (Health) Data Train

    10 - 11 October 2019

    Utrecht, Netherlands

    ELIXIR Innovation and SME Forum: Distributed Data Analysis - The (Health) Data Train https://tess.elixir-europe.org/events/elixir-innovation-and-sme-forum-distributed-data-analysis-the-health-data-train The Innovation and SME Forum on 10-11 October with a focus on “distributed data analysis - the (health) data train” in Utrecht is open to researchers working in the data driven life-science sector, large and small companies that develop services for data management and sharing, as well as people involved in national healthcare initiatives and anyone else who is interested in learning more about data-driven innovation in the life-science sector. The concept of distributed data analysis as contained in the FAIR Data Train approach has been endorsed by the Dutch government in a letter to the Dutch Parliament in December 2018. Meanwhile, the Dutch Government is preparing to implement this novel strategy in the Dutch health care information system. This signals the emerging market for FAIR-based distributed analysis approaches beyond the science domain. The ELIXIR-NL public-private network is closely involved in specification and implementation.      This event contains a mix of high-level keynote speakers and interactive sessions to discuss and interact with other companies and ELIXIR partners. A specific session with Flash Talks, will give SMEs and Start-Ups the chance to introduce their work to a broad audience. This event is a collaborative effort, organised by ELIXIR Netherlands (DTL) in collaboration with several DTL SME partners. More generally, the event aims to inform about ELIXIR resources and create a space to network for industry and academia.   What people think about previous events: "The ELIXIR Innovation and SME Forum was a great opportunity for us to interact with ELIXIR and also other SME organisations to share ideas and better understand how ELIXIR together with small and large companies can help bridging the "digital islands" of information and provide true value for life science stakeholders, researchers and in the ned, the patients." - Henrik Plym-Forshell, BC Platforms, Sweden     2019-10-10 09:00:00 UTC 2019-10-11 00:00:00 UTC Jongerius Kantoor - Villa Jongerius, Utrecht, Netherlands Jongerius Kantoor - Villa Jongerius Utrecht Netherlands 3527 [] [] [] [] [] []
  • Software Carpentry Workshop

    16 - 18 October 2019

    Heidelberg, Germany

    Software Carpentry Workshop https://tess.elixir-europe.org/events/software-carpentry-workshop-ab3af408-aa91-49ed-bab2-5db1f2e6d15d Educators: Malvika Sharan, Georg Zeller, Mike Smith, Thomas Schwarzl, Frank Thommen (HD-HuB), Holger Dinkel Date: 16-10-2019 - 18-10-2019 09:00-18:00 Location: ATC Computer Training Lab, EMBL Heidelberg Contents: Computation is an integral part of today's research as data has grown too large or too complex to be analysed by hand. An ever-growing fraction of science is performed computationally and many wet-lab biologists spend part of their time on the computer. Many scientists struggle with this aspect of research as they have not been properly trained in the necessary set of skills. The result is that too much time is spent using inefficient tools when progress could be faster. This course provides training in several key tools, with a focus on good development practices that encourage efficient and reproducible research computing. Topics covered include: Introduction to Python scripting Introduction to the Unix shell and usage of cluster resources Version control with Git and Github Analysis pipeline management Scientific Python & working with biological data Literate programming with Jupyter notebooks Learning goals: This course aims to teach software writing skills and best practices to researchers in biology who wish to analyse data, and to introduce a toolset that can help them in their work. The goal is to enable them to be more productive and to make their science better and more reproducible. Prerequisites: This is a course for researchers in the life sciences who are using computers for their analyses, even if not full time. The target student will be familiar with some command line/programmatic computer usage, will want to become more confident using these tools efficiently and reproducibly. A target student will have written a for loop in some language before, but will not know what git is (or at least not be very comfortable using git). Keywords: Programming; Command Line; Version Control; Bioinformatics; Data Analysis; Cluster Computing Tools: Python; Bash; Unix/Linux; Git; GitHub; SnakeMake; Biopython; Pandas; Numpy; SciPy; Matplotlib 2019-10-16 09:00:00 UTC 2019-10-18 17:00:00 UTC de.NBI / ELIXIR Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany [] [] [] workshops_and_courses [] []
  • ELIXIR Norway All Hands Meeting

    22 - 24 October 2019

    Oslo, Norway

    Elixir node event
    ELIXIR Norway All Hands Meeting https://tess.elixir-europe.org/events/elixir-norway-all-hands-meeting-2019 Yearly gathering of all hands involved in ELIXIR Norway, including our SAC and stakeholder panel. Registration here by 22 September: https://forms.gle/hprhrTnthstT46E37 Schedule: 22 October 0900 - 23 October 1200: Pre-meeting on workflows and data management (WP4) 23 October 1200 - 24 October 1300: ELIXIR Norway all hands meeting (All) 24 October 1300 - 25 October 1300: Meeting with SAC and stakeholders (node leaders, WP leaders, coordinators 25 October 1300 - 25 October 1600: Board meeting (Head of Node, Node coordinator) 2019-10-22 09:00:00 UTC 2019-10-24 13:00:00 UTC ELIXIR Norway Thon Hotel Opera, 4, Dronning Eufemias gate, Oslo, Norway Thon Hotel Opera, 4, Dronning Eufemias gate Oslo Norway [] christine.stansberg@uib.no [] ELIXIR Norway staffELIXIR Norway SACELIXIR Norway stakeholder panel meetings_and_conferences [] []
  • Machine Learning in R

    6 - 7 November 2019

    Heidelberg, Germany

    Machine Learning in R https://tess.elixir-europe.org/events/machine-learning-in-r Date Nov 6 - Nov 7 2019 Location EMBL Heidelberg Tutors and helpers - Dr. Malvika Sharan - Prof Bernd Bischl - Martin Binder - Giuseppe Casalicchio Affiliation: Ludwig-Maximilians-University Munich Course Information This two-day course, on the implementation of Machine Learning in R, using mlr package will be delivered as practical sessions on programming and data analysis. The main goal of mlr is to provide a unified interface for machine learning tasks as classification, regression, cluster analysis and survival analysis in R. Sessions will be driven by many practical exercises and case studies. Before this workshop, participants are expected to review the official material introducing the principle of Machine Learning (see the prerequisite). Course Content This 2-day course will cover hands-on sessions using `mlr` and other relevant packages. Daily schedule - 09:30-12:30 3h morning, 90 min Theory + 90 min Practical - 12:30-13:30 1h Lunchbreak - 13:30-16:30 3h afternoon, 90 min Theory + 90 min Practical - 16:30-17:00 Time for general questions Day 1 Introduction to the concepts and Practical with mlr - Performance Evaluation and Resampling (Metrics, CV, ROC) - Introduction to Boosting Day 2 Introduction to the concepts and Practical with mlr - Tuning and Nested Cross-Validation - Regularization and Feature Selection Prerequisite The course is aimed at advanced R programmers, preferably with some knowledge of statistics and data modeling (See prerequisite materials from Day-1, 2, & 4). In this course, our learners will learn more about machine learning and its application and implementation through the hands-on sessions and use cases. Optional: Discussion-Based Session On The Principle of Machine Learning Anna Kreshuk (EMBL Group Leader) will lead a one-day discussion-based session on 14 October 2019 to address your questions on the prerequisite materials on the principle of Machine Learning. This will also allow you to connect with other participants of this workshop informally, and discuss the materials in smaller groups. Please register for this workshop separately: https://bio-it.embl.de/events/machine-learning-discussion-workshop-2019/. Registration Please register on this page: https://bio-it.embl.de/events/machine-learning-in-r-2019/ Please note that the maximum capacity of this course is 40 participants and registration is required to secure a place. If you have any questions, please contact Malvika Sharan. In your registration, please mention your EMBL group name, or institute's name (e.g. DKFZ, Uni-HD) if you are registering as an external participant. Costs 60,00 EUR Keywords: Machine Learning, R 2019-11-06 09:00:00 UTC 2019-11-07 17:00:00 UTC de.NBI Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany [] [] [] workshops_and_courses [] []
  • CABANA Workshop: Analysis of Crop Genomics Data

    2 - 6 December 2019

    Bogota, Colombia

    Elixir node event
    CABANA Workshop: Analysis of Crop Genomics Data https://tess.elixir-europe.org/events/cabana-workshop-analysis-of-crop-genomics-data This course will introduce crop biologists to methods and approaches for analysing crop genomics data. 2019-12-02 08:30:00 UTC 2019-12-06 12:45:00 UTC Universidad de los Andes - UniAndes, Bogota, Colombia Universidad de los Andes - UniAndes Bogota Colombia 111711 [] Marco Cristancho [] [] [] [] HDRUK
  • Train the Trainer Workshop

    3 - 4 December 2019

    Esch-sur-Alzette, Luxembourg

    Train the Trainer Workshop https://tess.elixir-europe.org/events/train-the-trainer-workshop 2019-12-03 09:00:00 UTC 2019-12-04 17:00:00 UTC Elixir-Luxembourg Luxembourg Learning Centre University of Luxembourg, Esch-sur-Alzette, Luxembourg Luxembourg Learning Centre University of Luxembourg Esch-sur-Alzette Luxembourg 4367 Bioinformatics University of Luxembourg roland.krause@elixir-luxembourg.org [] ResearchersTrainersTraining instructorsTraining Designers 20 workshops_and_courses registration_of_interest Train the trainer
  • A tour of machine learning: classification

    13 - 14 January 2020

    Gent, Belgium

    Elixir node event
    A tour of machine learning: classification https://tess.elixir-europe.org/events/a-tour-of-machine-learning-classification-b217275f-0a31-4994-b5c6-be3d999cc9f7 Machine learning has become ubiquitous in biotechnology (as in many other fields), fueled largely by the increasing availability and amount of data. Learning algorithms can figure out how to perform important tasks by generalizing examples. Typical applications are diagnoses/prognoses, gene/protein annotation, drug design, image recognition, text mining and many others. However, building successful machine learning models requires a substantial amount of “black art” that is hard to find in textbooks. This course is an interactive Jupyter Notebook (Python) that will teach you how to build successful machine learning models. No background in machine learning is assumed, just a keen interest. 2020-01-13 09:00:00 UTC 2020-01-14 00:00:00 UTC VIB Bioinformatics Core iGent, Gent, Belgium iGent Gent Belgium 9052 [] [] [] [] [] []
  • Best practices in data management and data stewardship

    27 - 28 January 2020

    Esch-sur-Alzette, Luxembourg

    Best practices in data management and data stewardship https://tess.elixir-europe.org/events/best-practices-in-data-management-and-data-stewardship 2020-01-27 09:00:00 UTC 2020-01-28 17:00:00 UTC Roland Krause, Pinar Alper Luxembourg Learning Centre, Esch-sur-Alzette, Luxembourg Luxembourg Learning Centre Esch-sur-Alzette Esch-sur-Alzette Luxembourg Workflows Bioinformatics Data management University of Luxembourg ELIXIR-Luxembourg PhD studentspostdoctoral researchersdata stewards 25 [] [] []
  • Mass spectrometry data processing

    2 - 3 June 2020

    Gent, Belgium

    Elixir node event
    Mass spectrometry data processing https://tess.elixir-europe.org/events/mass-spectrometry-data-processing-f80a1c34-fcd4-40bf-83df-1ba4b05dd38e Obtain a good understanding of the origins and properties of mass spec data Obtain an understanding of the processing of mass spec data, aimed at identifying and quantifying peptides and proteins Gain sufficient understanding of the software tools and database used, and of the issues and caveats involved, to critically analyse and assess results from mass spectrometry based proteomics experiments 2020-06-02 09:00:00 UTC 2020-06-03 00:00:00 UTC VIB Bioinformatics Core iGent, Gent, Belgium iGent Gent Belgium 9052 [] [] [] [] [] []
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