EMBO practical course on analysis of high-throughput sequencing data

The aim of this course is to familiarise the participants with advanced data analysis methodologies and provide hands-on training on the latest analytical approaches. Lectures will give insight into how biological knowledge can be generated from High-throughput sequencing experiments and illustrate different ways of analyzing such data. Practicals will consist of computer exercises that will enable the participants to apply statistical methods to the analysis of sequencing data under the guidance of the lecturers and teaching assistants.

The timetable can be found here.

Number of sessions: 6

After this course you should be able to:

• Understand the advantages and limitations of the high-throughput assays presented
• Assess the quality of your datasets
• Compare and apply appropriate short read aligners
• Perform alignment and peak calling of ChIP-seq datasets
• Perform alignment and quantification of expression for RNA-seq datasets
• Understand the challenges of single cell sequencing analysis

Presentations, demonstrations and practicals

6

1