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  • An Introduction to Solving Biological Problems with R

    16 - 17 February 2015

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Solving Biological Problems with R https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-r-a5bf1162-48ee-4baa-8664-c91ae02d3f46 This course provides an introduction to the R programming language and software environment for statistical computing and graphics. A variety of examples with a biological theme will be presented. Further information is available [here](http://ruddles.bio.cam.ac.uk/~dpjudge/Descriptions/R_Intro.php). The Course Web Site providing links to the course materials is [here](http://logic.sysbiol.cam.ac.uk/teaching/Rcourse/). 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=Bioinformatics:%20An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R_gsls-rintro_2015.02.16-17_1346838&CourseName=Bioinformatics:%20An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R&CourseDate=2015.02.16-17&CourseDuration=2&EventID=1346838).'' 2015-02-16 09:30:00 UTC 2015-02-17 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of Cambridge and InstitutionsGraduate studentsPostdocs and Staff members from all other external InstitutionsIndividual Course fees are required only from external participants not from Institutions workshops_and_courses [] HDRUK
  • Biological Imaging Data Management for Life Scientists

    14 July 2016

    Cambridge, United Kingdom

    Elixir node event
    Biological Imaging Data Management for Life Scientists https://tess.elixir-europe.org/events/biological-imaging-data-management-for-life-scientists-eb567418-c2a4-45dc-8363-1778a4bc4b13 [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 import, organise, view, search, annotate and publish imaging data. Additionally, we will briefly introduce how to use a variety of analysis tools with OMERO. This course is organized alongside a one day course on Biological Imaging Data Management for Facility Managers. More information on this event are available [here](http://www.training.cam.ac.uk/bioinformatics/event/1769270). 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://marstons.bio.cam.ac.uk/course-booking/?CourseID=Biological%20imaging%20data%20management%20for%20life%20scientists_bioinfo-omerols_14.07.2016_1769278&CourseName=Biological%20imaging%20data%20management%20for%20life%20scientists&CourseDate=14.07.2016&CourseDuration=1&EventID=1769278).'' 2016-07-14 08:30:00 UTC 2016-07-14 16:00:00 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 [] Anyone wanting to use OMERO to organizeviewannotate and publish imaging dataFacility Managers wanting to train usersGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Biological Imaging Data Management for Life Scientists

    7 December 2017

    Cambridge, United Kingdom

    Elixir node event
    Biological Imaging Data Management for Life Scientists https://tess.elixir-europe.org/events/biological-imaging-data-management-for-life-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 import, organise, view, search, annotate and publish imaging data. Additionally, we will briefly introduce how to use a variety of processing tools with OMERO. This course is organized alongside a one day course on Biological Imaging Data Processing for Data Scientists. More information on this event are available [here](https://training.csx.cam.ac.uk/bioinformatics/event/2280783). 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=2239247&course-title=Biological%20imaging%20data%20management%20for%20life%20scientists).'' 2017-12-07 09:30:00 UTC 2017-12-07 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 [] Anyone wanting to use OMERO to organizeviewannotate and publish imaging dataFacility Managers wanting to train usersGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
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