Analysis of DNA Methylation using Sequencing Beginners
This course will cover all aspects of the analysis of DNA methylation using sequencing, including primary analysis, mapping and quality control of BS-Seq data, common pitfalls and complications.
It will also include exploratory analysis of Methylation, looking at different methods of quantitation, and a variety of ways of looking more widely at the distribution of methylation over the genome. Finally the course will look at statistical methods to predict differential methylation.
The course will be comprised of a mixture of theoretical lectures and practicals covering a range of different software packages.
Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.
- Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
- Further details regarding eligibility criteria are available here
- Further details regarding the charging policy are available here
Number of sessions: 1
| # | Date | Time | Venue | Trainers | |
|---|---|---|---|---|---|
| 1 | Wed 8 Jun 2016 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Simon Andrews, Felix Krueger |
By the end of the course students should be able to perform an analysis of Methylation Data all the way from raw sequencing to the selection of interesting targets.
Presentations, demonstrations and practicals
1
A number of times per year
- Analysis of mapped NGS data with SeqMonk (ONLINE LIVE TRAINING)
- Analysis of high-throughput sequencing data with Bioconductor
- Introduction to RNA-seq and ChIP-seq data analysis
Booking / availability