Date: 1 - 5 July 2019

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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.

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.''

Keywords: HDRUK

Venue: Craik-Marshall Building

City: Cambridge

Country: United Kingdom

Postcode: CB2 3AR

Organizer: University of Cambridge

Host institutions: University of Cambridge Bioinformatics Training

Target audience: 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 students, Postdocs and Staff members from the University of Cambridge, Institutions and other external Institutions or individuals, Please note that all participants attending this course will be charged a registration fee., Non-members of the University of Cambridge to pay £575 , All Members of the University of Cambridge to pay £250 A booking will only be approved and confirmed once the fee has been paid in full.

Event types:

  • Workshops and courses

Scientific topics: Bioinformatics, Data visualisation


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