EMBL Courses and Conferences during the Coronavirus pandemic
With the onsite programme paused, many of our events are now being offered in virtual formats.
Registration is open as usual for many events, with back-up plans in place to move further courses and conferences online as necessary. Registration fees for any events affected by the COVID-19 disruption are fully refundable.
More information for participants of events at EMBL Heidelberg can be found here.
EMBL has taken the difficult decision to pause our programme of external courses and conferences. As a result, we are cancelling the course and apologise for the inconvenience.
The course is split into two groups, one working on FFPE-derived genomic DNA and one using cfDNA for methylome analysis.
The aim of the first group is to generate libraries by using a novel DNA repair cocktail. Downstream of this FFPE repair mix participants will use the NEBNext Ultra II DNA reagents to obtain high yields and complex libraries from these challenging samples for Illumina sequencing.
The aim of the second group of the course is to prepare and analyze "bisulfite-free" methylome libraries for Illumina sequencing. We will use a novel enzymatic approach, to detect 5-methyl cytosines (5mC's), that results in longer reads and higher coverage of genomic features at lower minimum coverage thresholds when compared to Illumina bisulfite libraries.
This course is directed towards wet-lab biologists, scientists and technicians who either want to learn to overcome challenges with tricky genomic DNA material such as FFPE-derived gDNA or want to apply the bisulfite-free method for detecting 5mC's to their samples. In both cases, participants will learn the best practice of library preparation and data analysis. Knowledge of next generation sequencing technology is desirable but not essential.
- Enzymatic detection of 5mC's
- Introduction to methylome data analysis
- DNA Sequencing
Preparation of either methylome libraries using an enzymatic approach or FFPE derived genomic DNA libraries. Introduction to data analysis of these libraries.