This course aims to develop practical skills in data handling, analysis and visualization for large “omics” data commonly found in contemporary plant research.
Two domain-specific projects will be addressed: i) RNA-seq analysis and ii) Microbiome analysis. For each project, after introductory lectures on the topic, students will be trained to handle these specific datasets. Afterwards, they will have to process a dataset by themselves and build a result report to describe their biological conclusions from the experiment. They will receive feedback on their approach, including their R coding practices and the biological interpretation of their results.
During this course, importance of both experimental design and parameter choice will be discussed. The students will have to perform a data analysis in the most reproducible manner and visualize data to convey a biological answer to a research question.