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  • CSAMA 2020: Statistical Data Analysis for Genome-Scale Biology

    20 - 26 June 2020

    Brixen, Italy

    CSAMA 2020: Statistical Data Analysis for Genome-Scale Biology Educators: Wolfgang Huber, Mike Smith, Simone Bell, Katharina Imkeller, Britta Velten (HD-HuB) Laurent Gatto, Robert Gentleman, Martin Morgan, Johannes Rainer, Lori Shepherd, Charlotte Soneson, Davide Risso, Levi Waldron Date: 21 to 26 June 2020 Location: Brixen, Italy Contents: The one-week intensive course Statistical Data Analysis for Genome-Scale Biology teaches statistical and computational analysis of multi-omics studies in biology and biomedicine. It covers the underlying theory and state of the art (the morning lectures) and practical hands-on exercises based on the R / Bioconductor environment (the afternoon labs). Learning goals: At the end of the course, you should be able to run analysis workflows on your own (multi-)omic data, adapt and combine different tools, and make informed and scientifically sound choices about analysis strategies. Prerequisites: The course is intended researchers who have basic familiarity with the experimental technologies and their applications in biology, and who are interested in making the step from a user of bioinformatics software towards adapting or developing their own analysis workflows. Keywords: Statistics, biology, RNASeq, Bioconductor, R, RStudio human genetics. Tools: R / Bioconductor 2020-06-20 09:00:00 UTC 2020-06-26 17:00:00 UTC de.NBI Brixen, Brixen, Italy Brixen Brixen Südtirol Italy [] [] [] workshops_and_courses [] []

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