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2 events found

City: Bogota  or Copenhagen  or Cambridge  or Norwich  or Rotterdam 


Target audience: Support Staff  or Biophysicists 

  • ENA Sequence Retrieval

    10 October 2018

    Cambridge, United Kingdom

    Elixir node event
    ENA Sequence Retrieval This training will introduce ENA (European Nucleotide Archive) users to powerful search and retrieval methods available for annotated sequences, genomes, raw data and metadata, as well as download options from the ENA browser and an introduction to the various ENA browser tools. There will also be a section on cross references and how to retrieve accessions for other resources linked to the primary data in ENA. There will be time for users to present their own use cases or request specific help with their own queries. 2018-10-10 09:30:00 UTC 2018-10-10 17:00:00 UTC European Bioinformatics Institute (EMBL-EBI), Cambridge, United Kingdom European Bioinformatics Institute (EMBL-EBI) Cambridge United Kingdom CB10 1SD [] Annalisa Milano EMBRIC BoinformaticiansSupport Staff workshops_and_courses [] HDRUK
  • IAFIG-RMS: Bioimage analysis with Python

    9 - 13 December 2019

    Cambridge, United Kingdom

    Elixir node event
    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]( and is sponsored by the [Royal Microscopical Society]( 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]( account you will need to book or register your interest by linking [here](;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 Biological imaging 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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