This beginner level course provides a basic training in statistical bioinformatics analysis using R and Bioconductor. The course topics include an introduction to R and Bioconductor, exploration of data using appropriate graphics, basics on statistical testing as well as regression and principal component analysis. A particular focus will be on tools to facilitate downstream analysis.
As an advanced topic, the analysis of ChIP Seq data will be touched upon on the last day of the course.
The course will be a mix of lectures and hands-on training. Practicals will consist of computer exercises that will enable the participants to apply statistical methods to the analysis of data under the guidance of the lecturers and teaching assistants.
Participants are encouraged to submit their data to be used as examples or case studies during the course. Please contact Bernd Klaus in advance to ensure the data is appropriate (ex: should be relatively pre-processed: roughly something that fits in an excel table, no raw image data, or sequencing output).
Additionally, if any participants would like to bring their ChIP-seq data please contact Charles Girardot directly as there may be a possibility to perform basic processing.
Who should apply?
The course is aimed at PhD students, postdocs and interested faculty.
The teaching language will be English. Please note that the course will be very intense and basic experience in computer programming (writing simple scripts) is required. Coffee breaks, lunch, dinner and materials will be provided.