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
  • EMBL-EBI: Ontologies in life sciences - examples from GO and EFO

    2 February 2018

    Cambridge, United Kingdom

    Elixir node event
    EMBL-EBI: Ontologies in life sciences - examples from GO and EFO https://tess.elixir-europe.org/events/embl-ebi-introduction-to-ontologies-e2d72861-7306-47bb-b39b-a51656ca4a0d This course will give an introduction to the basic concepts of ontologies and how they are useful in biological applications. We will explain what a biomedical ontology is and present the two primary types of ontology: (i) domain ontology and (ii) application ontology, using examples as [Gene Ontology (GO)](http://www.geneontology.org/) and [Experimental Factor Ontology (EFO)](http://www.ebi.ac.uk/efo/). The module will also go into details of why big data need ontologies and the ontology capabilities in advanced computational biology. Also note: This event is part of a series of short introductions focusing on EMBL-EBI resources. If you want to learn more about these separate training events, see the [[#Related|Related Courses]] section below. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. 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=2239235&course-title=EMBL-EBI:Ontologies%20in%20life%20sciences).'' 2018-02-02 13:30:00 UTC 2018-02-02 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics University of Cambridge Bioinformatics Training [] The workshop is suitable for anyone who wishes to find out what ontology is aboutfrom ontology 101 to the intermediate level of ontology knowledge. The participants are not expected to have prior ontology knowledge. This course is an introductory to intermediate level of ontology learning.Graduate 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.