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Scientific topics: Workflows 


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  • Big Data and Cloud Computing

    1 June 2018

    Cambridge, United Kingdom

    Elixir node event
    Big Data and Cloud Computing Recent advances in genomics, proteomics, imaging and other technologies, have resulted in data being generated at a faster rate than they can be meaningfully analysed. In this course we will show you how cloud computing can be used to meet the challenges of storage, management and analysis of big data. The first half of the course will introduce cloud infrastructure technologies. The second half will cover tools for collaborative working, resource management, and creation of workflows. The instructors will demonstrate how they are using cloud computing in their own research. N.B. If you sign up for this course, you will be automatically registered for an [AWS educate account](, which will provide you with sufficient AWS credits to complete the course exercises. If you decide to continue using cloud computing after the course, you will need to either purchase more credits or apply for a grant from programs like: [AWS Cloud Credits for Research](, [Microsoft Azure for Research]( or [Google Cloud Platform Education Grants]( Please note that if you are not eligible for a University of Cambridge [Raven]( account you will need to book by linking [here]('' 2018-06-01 08:30:00 UTC 2018-06-01 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Workflows Bioinformatics University of Cambridge Bioinformatics Training [] Researchers in the life sciences with little or no experience of cloud computing.Researchers from other disciplines may find the course usefulbut should be aware that biological data will be used in some of the examples and exercises.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK

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