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Course Materials for 2017

BioC Europe

December, Cambridge, UK

This conference highlights current developments within and beyond Bioconductor.

BioC2017

July, Boston, MA, USA

This conference highlights current developments within and beyond Bioconductor. Morning scientific talks and afternoon practicals provide conference participants with insights and tools required for the analysis and comprehension of high-throughput genomic data. 'Developer Day' preceeds the main conference on July 26, providing developers and would-be developers an opportunity to gain insights into project direction and software development best practices.

CSAMA2017

June, Bressanone-Brixen, Italy

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). 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. The course is intended for 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. The four practical sessions of the course will require you to follow and modify scripts in the computer language R.