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

Acknowledgments