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  • Summer School - Bioinformatics for Biologists: An introduction to Data Exploration, Statistics and Reproducibility

    1 - 5 July 2019

    Cambridge, United Kingdom

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    Summer School - Bioinformatics for Biologists: An introduction to Data Exploration, Statistics and Reproducibility This 1-week course aims to provide an introduction to the best practices and tools needed to perform bioinformatics research effectively and reproducibly. Focusing on solutions around handling biological data, we will cover introductory lessons in data manipulation and visualisation in R, statistical analyses, and reproducibility. The R component of the course will cover from basic steps in R to how to use some of the most popular R packages (dplyr and ggplot2) for data manipulation and visualisation. No prior R experience or previous knowledge of programming/coding is required. The course also includes introductory sessions in statistics and working examples on how to analyse biological data. At the end of the course we will address issues relating to reusability and reproducibility. More information about the course can be found [here](;d=bioinformaticsforbiologists_july201). This course is run in collaboration with the [Institute of Continuing Education]( 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=Bioinformatics%20for%20Biologists).'' 2019-07-01 08:30:00 UTC 2019-07-05 16:15:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Bioinformatics University of Cambridge Bioinformatics Training [] This course is aimed at individuals working across biological and biomedical sciences who have little to no experience in bioinformatics.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"> Non-members of the University of Cambridge to pay £575 </span style><span style="color:#0000FF">All Members of the University of Cambridge to pay £250 </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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