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  • An Introduction to R: Software For Statistical Analysis

    26 October - 2 November 2015

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to R: Software For Statistical Analysis https://tess.elixir-europe.org/events/an-introduction-to-r-software-for-statistical-analysis-5b7d1c9b-1e47-4b94-b5b4-c90e3fecc35d The aim of this course is to introduce participants to the basics of statistical analysis and the open source statistical software [R](https://www.r-project.org/), a free software environment for statistical computing and graphics. Participants will actively use R throughout the course, during which they will be introduced to principles of statistical thinking and interpretation by example, exercises and discussion about a range of problems. The examples will be used to present a variety of statistical concepts and techniques, with no focus on any specific discipline. Important information: We have 12 configured laptops for use at the workshop. After these laptops have been allocated, participants will either need to share, or bring their own. These laptops will be allocated to the first individuals to express an interest in using them. When booking, please indicate under "Special requirements" if you wish to use one of the 12 laptops or bring your own. Participants bringing their own laptop will be given instructions on what software to install. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register interest by linking [here](http://marstons.bio.cam.ac.uk/course-booking/?CourseID=An%20Introduction%20to%20R:%20Software%20for%20statistical%20analysis_bioinfo-IntroR_26.10-28.10-2.11.2015_1545967&CourseName=An%20Introduction%20to%20R:%20Software%20for%20statistical%20analysis&CourseDate=26.10-28.10-2.11.2015&CourseDuration=3&EventID=1545967).'' 2015-10-26 13:30:00 UTC 2015-11-02 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training [] All postgraduates Research Assistants and Research Associates who have had minimal exposure to statistical methods and/or software but want to develop the necessary skills to perform analysis and gain experience using R. workshops_and_courses [] []
  • Biological Imaging Data Processing for Data Scientists

    8 December 2017

    Cambridge, United Kingdom

    Elixir node event
    Biological Imaging Data Processing for Data Scientists https://tess.elixir-europe.org/events/biological-imaging-data-processing-for-data-scientists [The Open Microscopy Environment](https://www.openmicroscopy.org/) (OME) is an open-source software project that develops tools that enable access, analysis, visualization, sharing and publication of biological image data. OME has three components: * OME-TIFF, standardised file format and data model; * Bio-Formats, a software library for reading proprietary image file formats; and * OMERO, a software platform for image data management and analysis. In this one day course, we will present the OMERO platform, and show how to transition from manual data processing to automated processing workflows. We will introduce how to write applications against the OMERO API, how to integrate a variety of processing tools with OMERO and how to automatically generate output ready for publication. This course is organized alongside a one day course on Biological Imaging Data Management for Life Scientists. More information on this event are available [here](https://training.csx.cam.ac.uk/bioinformatics/event/2239247). This course will be delivered by members of the OMERO team. The OME project is supported by BBSRC and Wellcome Trust. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2280783&course-title=Biological%20imaging%20data%20management%20for%20data%20scientists).'' 2017-12-08 09:30:00 UTC 2017-12-08 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data management Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Life scientists with programming skillsbioinformaticians and image analysts.Anybody interested in using Jupyter and OMEROGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
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