Bioinformatics: Analysis of High-throughput sequencing data with Bioconductor

New

This course provides an introduction to the tools available through the Bioconductor project for manipulating and analysing high-throughput sequencing data. We will present workflows for the analysis of CHip-Seq and RNA-seq, as well as tools to annotate and visualise results derived from other sequencing experiments (such as DNA resequencing) Further information 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.

• Our courses are open to all who might benefit
• Booking priority is given to people from Cambridge University and Collaborating Institutes

• A knowledge of current sequencing technologies, data formats (e.g. fastq and bam) and alignment
• A Familiarity with the R programming environment and preferably some experience with Bioconductor

Number of sessions: 3

• To provide an understanding of how aligned sequencing-reads, genome sequences and genomic regions are represented in R.
• To encourage confidence in reading sequencing reads into R, performing quality assessment and executing standard pipelines for RNA-seq and CHip-Seq analysis

Presentations and practicals

3

A number of times per year

• Bioinformatics: An Introduction to Solving Biological Problems with R
• Bioinformatics: R object-oriented programming and package development
• Bioinformatics: Microarray Analysis with Bioconductor
• Bioinformatics: Next Generation Sequencing data analysis
• Bioinformatics: Analysing mapped NGS data with SeqMonk
• Bioinformatics: Introductory Statistics and Experimental Design for Genomics