This course provides an introduction to the tools available through the Bioconductor project for manipulating and analysing high-throughput sequencing (HTS) data. We will present workflows for the analysis of ChIP-Seq and RNA-seq data starting from aligned reads in bam format. We will also describe the various resources available through Bioconductor to annotate and visualize HTS data, which can be applied to any type of sequencing experiment.

During this course you will learn about:
*Quality assessment of raw sequencing reads and aligned reads using R.
*Differential expression analysis using edgeR and DEseq.
*Annotating HTS results with Bioconductor.
*Importing ChIP-Seq peaks and performing downstream analysis.
*Integrating ChIP-Seq and RNA-Seq data.

The course timetable is available here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.''