Training

The aim of this course is to familiarise the participants with advanced data analysis methodologies for the interpretation and integration of data derived from different NGS applications including RNA-seq, ChIP-seq, and DNA variant detection.

The course covers analysis of NGS data. Using ChIP-Seq and RNA-Seq datasets as an example, the course will provide ideas and practical advice for the interpretation of NGS data sets in a genomic context. Lectures will give insight into how biological knowledge can be generated from NGS data and illustrate different ways of analysing and integrating such data. Practicals will consist of computer exercises that will enable the participants to apply statistical methods to the analysis of NGS data under the guidance of the lecturers and teaching assistants.

During this course you will learn about:

• RNA-Seq
• ChIP-Seq
• DNA variant detection
• Region identification
• Differential binding and differential expression
• Data integration and external databases (ENCODE)
• Network analysis
• Statistical analysis using R/Bioconductor

After this course you should be able to: 

• Access, query and retrieve public domain data
• Process RNA-Seq, ChiP-Seq and DNA variant data
• Use bioinformatics tools to conduct some downstream analyses
• Interpret your findings in their biological context