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6 events found

City: Heidelberg  or Pavia  or Belgrade  or Kiel  or Norwich 

  • Software Carpentry Workshop

    16 - 18 October 2019

    Heidelberg, Germany

    Software Carpentry Workshop 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 [] []
  • Norwich Single-Cell Symposium 2019

    16 - 17 October 2019

    Norwich, United Kingdom

    Norwich Single-Cell Symposium 2019 Now in its third year, the Symposium covers single-cell genomics technologies and their application in microbial, plant, animal and human health and disease. The symposium offers a forum for researchers to discuss the latest developments in single-cell genomics, and network with other researchers with the intention of catalysing future development and application of single-cell genomics across the UK. Topics to be covered include: Single cell genomics in plant and microbial research Single cell genomics in health, disease and development Single cell informatics Single cell technology development 2019-10-16 10:00:00 UTC 2019-10-17 17:00:00 UTC Earlham Institute Earlham Institute (EI), Colney Lane, Norwich, United Kingdom Earlham Institute (EI), Colney Lane Norwich Norfolk United Kingdom NR4 7UZ Earlham Institute 10x GenomicsBlacktraceCelseeNew England BiolabsTakara Bio EuropeTTP Laptech Single Cell researchers meetings_and_conferences [] Single Cell GenomicsSingle Cell technologiesSingle Cell Sequencing
  • Machine Learning in R

    6 - 7 November 2019

    Heidelberg, Germany

    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: Registration Please register on this page: 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 [] []
  • Nanopore day, Heidelberg

    7 November 2019

    Heidelberg, Germany

    Elixir node event
    Nanopore day, Heidelberg Hear about the latest tech updates for Oxford Nanopore as well as hearing from local users about their latest work using nanopore technology. There is no delegate fee for this event. Your place at this event will be confirmed via email from Completion of this form does not constitute confirmation. Spaces are limited and will be allocated on a first-come, first-served basis. 2019-11-07 09:00:00 UTC 2019-11-07 17:00:00 UTC Oxford Nanopore Technology EMBL Heidelberg, 1, Meyerhofstraße, Heidelberg, Germany EMBL Heidelberg, 1, Meyerhofstraße Heidelberg Karlsruhe Germany [] [] [] meetings_and_conferences first_come_first_served Long read sequencing
  • Software Carpentry

    21 - 22 January 2020

    Norwich, United Kingdom

    Software Carpentry Our goal is to help scientists become more productive by teaching them basic computing skills like program design, version control, testing and task automation. In this two-day bootcamp, short tutorials will alternate with hands-on practical exercises. Participants will be encouraged both to help one another, and to apply what they have learned to their own research problems during and between sessions. 2020-01-21 09:00:00 UTC 2020-01-22 17:00:00 UTC Earlham Institute Earlham Institute (EI), Colney Lane, Norwich, United Kingdom Earlham Institute (EI), Colney Lane Norwich Norfolk United Kingdom NR4 7UZ Earlham Institute [] PhD studentspost-docspostgrad workshops_and_courses first_come_first_served SoftwareCarpentrypythonUnix Shell
  • Data Carpentry

    3 - 4 March 2020

    Norwich, United Kingdom

    Data Carpentry Data Carpentry workshops are for any researcher who has data they want to analyse, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data. 2020-03-03 09:00:00 UTC 2020-03-04 17:00:00 UTC Earlham Institute Earlham Institute (EI), Colney Lane, Norwich, United Kingdom Earlham Institute (EI), Colney Lane Norwich Norfolk United Kingdom NR4 7UZ Earlham Institute [] post-docsPhD studentspostgrad workshops_and_courses first_come_first_served Data carpentryCommand lineData analysis
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