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  • COSMIC: Exploring cancer genetics at high resolution

    26 September 2016

    Cambridge, United Kingdom

    Elixir node event
    COSMIC: Exploring cancer genetics at high resolution https://tess.elixir-europe.org/events/cosmic-exploring-cancer-genetics-at-high-resolution [COSMIC](http://cancer.sanger.ac.uk) is an expert-curated database of somatic mutations causing human cancer. Broad and comprehensive in scope, it describes over 4 million coding mutations across all human cancer disease types, and encompasses over 20 million somatic variants across other molecular mutation mechanisms in oncogenetics. Mutations are annotated across the entire genome, with deep-resolution expert curation focused on almost 200 key cancer genes. This course will use the live COSMIC website and genome browser to show you how to access and explore this information, seeking to identify genetic causes and targets in all human cancers. A timetable for this event is available [here](http://bioinfotraining.bio.cam.ac.uk/postgraduate/services/bioinfo-cosmic). 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=1887812&course-title=COSMIC:%20Exploring%20cancer%20genetics%20at%20high%20resolution).'' 2016-09-26 08:30:00 UTC 2016-09-26 11:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training [] This course is aimed at scientists and informaticians interested in the genetics of cancerencompassing all aspects of academic researchdata integration and visualisationand industrial investigations into diagnostic and pharmaceutical design across all human cancers.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Ontologies and ontology-based data analysis

    21 November 2018

    Cambridge, United Kingdom

    Elixir node event
    Ontologies and ontology-based data analysis https://tess.elixir-europe.org/events/ontologies-and-ontology-based-data-analysis Ontologies have long provided a core foundation in the organization of biomedical entities, their attributes, and their relationships. With over 500 biomedical ontologies currently available there are a number of new and exciting opportunities emerging in using ontologies for large scale data sharing and data analysis. This tutorial will help you understand what ontologies are and how they are being used in computational biology and bioinformatics. It will include hands-on examples and exercises and an introduction to Onto2Vec and OPA2Vec, two methods that can be used to learn semantic similarity measures in a data- and application-driven way. 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=2660714&course-title=Ontologies%20and%20ontology-based%20data%20analysis).'' 2018-11-21 10:00:00 UTC 2018-11-21 15:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Biology Bioinformatics University of Cambridge Bioinformatics Training [] The tutorial will be of interest to computational biologists who useproduce or analyse large structured datasets.The tutorial will be at an introductory levelbut will also describe current research directions and challenges that will be of broad interest to researchers in computational biology.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
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