RNA-Seq data analysis
The aim of the course is to familiarise experimental biologists with how bioinformaticians analyse RNA-Seq data. The statistical background will be explained in easy-to-understand terms with practical examples. This course is recommended to colleagues who are planning to do RNA-Seq experiments and want to understand better what happens to their raw data in the bioinformatician's hands.
Instructor: Elin Axelsson (GMI).
Topics
- Introduction. Counting reads.
- Relative expression estimates (RPKM and friends).
- Normalisation techniques. Variance stabilising transformations.
- Relative expression distribution and parameter estimation.
- Variance and over-dispersion.
- Statistical testing, multiple testing correction.
- Fold changes, significance and ranking.
Out of scope
We cannot go into details of your project due to time constraints. However, there will be opportunities to discuss practical problems during the course.
Prerequisites
This is not an "interactive" course. Just bring an open, curious mind and a desire to learn.
Practical information
Number of participants: minimum 6, maximum 10.
Length: The course takes two half-days, from 09:00 to 12:30.