An Introduction to R: Software For Statistical Analysis
26 October - 2 November 2015
Cambridge, United KingdomAn Introduction to R: Software For Statistical Analysis http://training.csx.cam.ac.uk/bioinformatics/event/1545967 https://tess.elixir-europe.org/events/an-introduction-to-r-software-for-statistical-analysis The aim of this course is to introduce participants to the basics of statistical analysis and the open source statistical software [R](https://www.r-project.org/), a free software environment for statistical computing and graphics. Participants will actively use R throughout the course, during which they will be introduced to principles of statistical thinking and interpretation by example, exercises and discussion about a range of problems. The examples will be used to present a variety of statistical concepts and techniques, with no focus on any specific discipline. Important information: We have 12 configured laptops for use at the workshop. After these laptops have been allocated, participants will either need to share, or bring their own. These laptops will be allocated to the first individuals to express an interest in using them. When booking, please indicate under "Special requirements" if you wish to use one of the 12 laptops or bring your own. Participants bringing their own laptop will be given instructions on what software to install. 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=An%20Introduction%20to%20R:%20Software%20for%20statistical%20analysis_bioinfo-IntroR_26.10-28.10-2.11.2015_1545967&CourseName=An%20Introduction%20to%20R:%20Software%20for%20statistical%20analysis&CourseDate=26.10-28.10-2.11.2015&CourseDuration=3&EventID=1545967).'' 2015-10-26 13:30:00 UTC 2015-11-02 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training  All postgraduatesResearch Assistants and Research Associateswho have had minimal exposure to statistical methods and/or softwarebut want to develop the necessary skills to perform analysis and gain experience using R. workshops_and_courses  HDRUK
COSMIC: Exploring cancer genetics at high resolution
26 September 2016
Cambridge, United KingdomCOSMIC: Exploring cancer genetics at high resolution http://training.csx.cam.ac.uk/bioinformatics/event/1887812 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
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