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  • 5th Prague Autumn School - RNASeq Data Analysis Workshop

    7 - 11 October 2019

    Prague, Czechia

    Elixir node event
    5th Prague Autumn School - RNASeq Data Analysis Workshop https://tess.elixir-europe.org/events/5th-prague-autumn-school-rnaseq-data-analysis-workshop 2019-10-07 08:30:00 UTC 2019-10-11 17:00:00 UTC Institute of Molecular Genetics CAS, SEQme s.r.o. Conference Centre, Institute of Molecular Genetics, Videnska 1083, 14220 Prague, Czech Republic, Prague, Czechia Conference Centre, Institute of Molecular Genetics, Videnska 1083, 14220 Prague, Czech Republic Prague Hlavní město Praha Czechia 14220 Institute of Molecular Genetics CASSEQme s.r.o. [] Life Science Researchers 22 workshops_and_courses first_come_first_served Next generation sequencing data analysisnext generation sequencing RNA-Seq
  • 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 [] []
  • Introduction to BRENDA and EnzymeStructures

    23 - 24 October 2019

    Braunschweig, Germany

    Introduction to BRENDA and EnzymeStructures https://tess.elixir-europe.org/events/introduction-to-brenda-and-enzymestructures Educators: Antje Chang, Ida Schomburg, Stefan Bietz, Sandra Placzek, Lisa Jeske (BioData) Date: 23.-24.10.2019 Location: TU Braunschweig, BRICS 2019-10-23 09:00:00 UTC 2019-10-24 17:00:00 UTC de.NBI Braunschweig, Braunschweig, Germany Braunschweig Braunschweig Germany [] [] [] workshops_and_courses [] []
  • Workshop: Oxford Nanopore long reads - de novo assembly

    6 - 7 November 2019

    Prague, Czechia

    Elixir node event
    Workshop: Oxford Nanopore long reads - de novo assembly https://tess.elixir-europe.org/events/workshop-oxford-nanopore-long-reads-de-novo-assembly 2019-11-06 08:30:00 UTC 2019-11-07 17:00:00 UTC Institute of Molecular Genetics CAS, SEQme s.r.o. Institute of Molecular Genetics, Vídeňská 1083, 1083, Prague 4, Prague, Czechia Institute of Molecular Genetics, Vídeňská 1083, 1083, Prague 4 Prague Hlavní město Praha Czechia 14220 Institute of Molecular Genetics, CASSEQme s.r.o. [] Life Science Researchers 23 workshops_and_courses first_come_first_served Next generation sequencing data analysis
  • 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 [] []
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