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  • EMBL-EBI: Interactions & Pathways - Reactome

    3 November 2015

    Cambridge, United Kingdom

    Elixir node event
    EMBL-EBI: Interactions & Pathways - Reactome https://tess.elixir-europe.org/events/embl-ebi-interactions-pathways-reactome This workshop will give an introduction to the [Reactome](http://www.reactome.org) pathway database website and analysis tools, using short presentations and practical hands-on exercises. The session will also explain where to learn more, get help, and how to become involved in adding more pathway information to Reactome. 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 Courses section below. 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 by linking [here](http://marstons.bio.cam.ac.uk/course-booking/?CourseID=EMBL-EBI:%20Interactions%20and%20Pathways%20-%20Reactome_bioinfo-ebireactome_3.11.2015_1392944&CourseName=EMBL-EBI:%20Interactions%20and%20Pathways%20-%20Reactome&CourseDate=3.11.2015&CourseDuration=0.5&EventID=1392944).'' 2015-11-03 09:30:00 UTC 2015-11-03 13:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training [] This workshop is aimed at researchers who want to learn about pathways or identify pathways relevant to a set of moleculesGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Using the Ensembl Genome Browser

    27 November 2015

    Cambridge, United Kingdom

    Elixir node event
    Using the Ensembl Genome Browser https://tess.elixir-europe.org/events/using-the-ensembl-genome-browser-b763c62e-9dff-40c2-b9bf-82369f4a1911 The [Ensembl Project](http://www.ensembl.org) provides a comprehensive and integrated source of annotation of, mainly vertebrate, genome sequences. This 1-day workshop offers participants the possibility of gaining hands-on experience in the use of the Ensembl genome browser but also provides them with the necessary background information. This course will focus on the vertebrate genomes in Ensembl, however much of what will be covered is also applicable to the non-vertebrates (plants, bacteria, fungi, metazoa and protists) in Ensembl Genomes. There may be some tools and topics that do not apply to non-vertebrates; if you have any questions about this, please email the Ensembl Outreach Project Leader, [mailto:emily@ebi.ac.uk Emily Perry]. 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=Using%20the%20Ensembl%20Genome%20Browser_bioinfo-ensbrow_2015.11.27_1528909&CourseName=Using%20the%20Ensembl%20Genome%20Browser&CourseDate=2015.11.27&CourseDuration=1&EventID=1528909).'' 2015-11-27 09:30:00 UTC 2015-11-27 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training [] The workshop is primarily targeted at wetlab researchersand we customise the course for species of interest and to include total beginners to our browser up through frequent usersGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • EMBL-EBI: Interactions & Pathways - Reactome

    28 February 2017

    Cambridge, United Kingdom

    Elixir node event
    EMBL-EBI: Interactions & Pathways - Reactome https://tess.elixir-europe.org/events/embl-ebi-interactions-pathways-reactome-f28ac773-8e34-44b5-ad1d-7a4b8e311f04 This workshop will give an introduction to the [Reactome](http://www.reactome.org) pathway database website and analysis tools, using short presentations and practical hands-on exercises. The session will also explain where to learn more, get help, and how to become involved in adding more pathway information to Reactome. Further information can be found [here](https://www.ebi.ac.uk/training/events/2015/interactions-pathways-reactome-1). 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 Courses section below. 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=1994156&course-title=EMBL-EBI:%20Interactions%20and%20Pathways%20-%20Reactome).'' 2017-02-28 09:00:00 UTC 2017-02-28 11:45:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics University of Cambridge Bioinformatics Training [] This workshop is aimed at researchers who want to learn about pathways or identify pathways relevant to a set of moleculesGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Autumn School in Data Science: Machine learning applications for life sciences

    23 - 26 September 2019

    Cambridge, United Kingdom

    Elixir node event
    Autumn School in Data Science: Machine learning applications for life sciences https://tess.elixir-europe.org/events/summer-school-in-biomedical-data-science-best-practices-for-single-cell-analysis-and-machine-learning-applications THIS EVENT IS NOW FULLY BOOKED! This Autumn School aims to familiarise biomedical students and researchers with principles of Data Science. Focusing on utilising machine learning algorithms to handle biomedical data, it will cover: effects of experimental design, data readiness, pipeline implementations, machine learning in Python, and related statistics, as well as Gaussian Process models. Providing practical experience in the implementation of machine learning methods relevant to biomedical applications, including Gaussian processes, we will illustrate best practices that should be adopted in order to enable reproducibility in any data science application. This event is sponsored by [Cambridge Big Data](https://www.bigdata.cam.ac.uk/). 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=3050610&amp;course-title=Autumn%20School%20in%20Data%20Science).'' 2019-09-23 10:30:00 UTC 2019-09-26 14:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Machine learning Bioinformatics University of Cambridge Bioinformatics Training [] Students and researchers from life-sciences or biomedical backgroundswho haveor will shortly havethe need to apply the techniques presented during the course to biomedical data.The course is open to Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals<span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Non-members of the University of Cambridge to pay £350. </span style> <span style="color:#0000FF">All Members of the University of Cambridge to pay £175. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style> workshops_and_courses [] HDRUK
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