Next Generation Sequencing data analysis

Prerequisites

This course provides an introduction to next generation sequencing (NGS) data analysis methodologies. Lectures will give insight into how biological knowledge can be generated from RNA-seq, ChIP-seq and DNA-seq 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 RNA-seq, ChIP-seq and DNA-seq data under the guidance of the lecturers and teaching assistants. It is aimed at researchers who are applying or planning to apply NGS technologies and bioinformatics methods in their research.

The timetable for this event can be found here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest 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

The course will include an introduction to Unix and R but to get the most out of the course we suggest acquiring:

• Basic experience of command line UNIX
• Sufficient UNIX experience might be obtained from one of the many UNIX tutorials available online.
• Basic knowledge of the R syntax
• For a real beginner's introduction into R see here. More advanced R instructions can be found at Quick-R or An Introduction to R

• short read alignment
• data quality assessment and statistical analysis
• data handling and visualisation
• ChIP-seq analysis
• RNA-seq analysis
• analysis of variants

The aim of this course is to familiarise the participants with NGS data analysis methodologies and provide hands-on training on the latest analytical approaches.

Presentations, demonstrations and practicals

4

A number of times per year

• Analysis of mapped NGS data with SeqMonk (ONLINE LIVE TRAINING)
• Whole Exome Sequencing and RNA-sequence data analysis