Register event
  • 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 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
Note, this map only displays events that have geolocation information in TeSS.
For the complete list of events in TeSS, click the grid tab.