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2 events found

Target audience: GATK newbies  or who have 

  • 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 12:00:00 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
  • From reads to disease variants

    21 - 25 October 2019

    Granada, Spain

    Elixir node event
    From reads to disease variants https://tess.elixir-europe.org/events/from-reads-to-disease-variants Massive sequencing is becoming mainstream in many fields of biomedicine, including the clinical practice. However, the management of sequencing raw data to transform them into valuable biological information on variants and its further interpretation is still a complex task that requires of intensive computing and trained personnel. This course covers all the steps from the raw sequencing data, produced by the sequencers, to the obtention of lists of variants using the popular GATK software. The course is followed by a tutorial on the IVA, a powerful and intuitive web interface for the interactive prioritization and detection of disease variants. GATK workshops are designed to provide a comprehensive onboarding experience to new users, as well as access to more advanced understanding for users who are already familiar with the toolkit. 2019-10-21 09:15:00 UTC 2019-10-25 13:30:00 UTC Fundación Progreso y Salud (FPS), Broad Institute and the Spanish National Bioinformatics Institute (INB/ELIXIR-ES) Granada, Spain Granada Spain Fundación Progreso y Salud (FPS) [] mixed audienceGATK newbiesvariant discovery newbiesGATK expertsGATK users workshops_and_courses [] Variant callingVariant discoveryGATKdisease variantpriorizationgenomics
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