1: Statistics and R for the Life Sciences

2: Introduction to Linear Models and Matrix Algebra

3: Advanced Statistics for the Life Sciences

4: Introduction to Bioconductor

5: RNA-seq data analysis

6: Variant Discovery and Genotyping

7: ChIP-seq data analysis

8: DNA methylation data analysis

Footnotes for all lectures