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
IAFIG-RMS: Bioimage analysis with Python
9 - 13 December 2019
Cambridge, United KingdomIAFIG-RMS: Bioimage analysis with Python http://training.csx.cam.ac.uk/bioinformatics/event/3129158 https://tess.elixir-europe.org/events/iafig-rms-bioimage-analysis-with-python THIS EVENT IS NOW FULLY BOOKED! The aim of this 5 days course is to develop motivated participants toward becoming independent BioImage Analysts in an imaging facility or research role. Participants will be taught theory and algorithms relating to bioimage analysis using Python as the primary coding language. Lectures will focus on image analysis theory and applications. Topics to be covered include: Image Analysis and image processing, Python and Jupyter notebooks, Visualisation, Fiji to Python, Segmentation, Omero and Python, Image Registration, Colocalisation, Time-series analysis, Tracking, Machine Learning, and Applied Machine Learning. The bulk of the practical work will focus on Python and how to code algorithms and handle data using Python. Fiji will be used as a tool to facilitate image analysis. Omero will be described and used for some interactive coding challenges. Research spotlight talks will demonstrate research of instructors/scientists using taught techniques in the wild. This event is organized in collaboration with the [Image Analysis Focused Interest Group](http://iafig-rms.org/) and is sponsored by the [Royal Microscopical Society](https://www.rms.org.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=3129158&course-title=BioImage%20analysis%20with%20Python).'' 2019-12-09 09:30:00 UTC 2019-12-13 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Bioimaging Bioinformatics University of Cambridge Bioinformatics Training  Cell BiologistsBiophysicistsBioImage Analysts with some experience of basic microscopy image analysisThis course may be of interest to physical scientists looking to develop their knowledge of Python coding in the context of bioimage analysisThis course is appropriate for researchers who are relatively proficient with computers but maybe not had the time or resources available to become programmers.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"> Members of Industry to pay 575.00 GBP. </span style> <span style="color:#0000FF">All Members of the University of CambridgeAffiliated Institutions and other academic participants from External Institutions and Charitable Organizations to pay 250.00 GBP. </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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