The course participants will use BioConductor software and Illumina BaseSpace Cloud apps. R-coding skills and deep knowledge of statistics are not necessary for attendance because most analyses will be performed with OneChannelGUI (a graphical interface to a series of BioConductor tools, which enables handling microarray data analysis as well as RNA-seq data without requiring programming skills). Computers for hands-on exercises will be provided along with demo data sets. Upon request, participants could bring along their own data to analyse.
This course was developed for biologists as the intended audience. Basic knowledge of massively parallel sequencing (MPS) is desirable.
- Tools for RNA-seq data analysis
- Experimental design
- Quality control
- Normalisation and data reformatting
- Basic statistics
- Selecting differentially regulated genes/microRNAs
- Selecting alternative splicing events
- Multiple testing
- Biological interpretation
- Understand the importance of experimental design in order to ask sensible biological questions
- Assess the quality of your data
- Perform normalisation and reformatting procedures
- Complete basic statistical tests on Next Generation Sequencing (NGS) data
- Understand some of the problems encountered when analysing data