Next-Generation-Sequencing Analysis

• explain the applications of the different NGS technologies, including the weakness and strengths of the approaches.
• explain the steps involved in a general NGS data analysis.
• explain the key theoretical concepts behind alignment and de novo assembly.
• use programs in a Unix environment for the analysis of NGS data.
• understand why certain steps are done in a specific order in NGS workflows.
• structure a small research project using existing NGS data.
• use the knowledge gained during the lectures and exercises for a small research project.
• learn to delegate tasks in a group to complete a small project and communicate the results on a poster.

The technology behind current NGS methods; Quality Control; Error Correction; Alignment; BAM processing; Genotyping; SNPs, Indels, de novo assembly; Human sequencing; Bacterial sequencing; Ancient DNA; Metagenomics; Genomic Epidemiology; RNAseq; Exome sequencing; Preparation of a project where NGS data is analyzed; presentation of the poster.

27002/27008/27230/27430/22101, Basic command line skills (i.e. locate or copy files via command line).
We recommend that students brush up on their molecular biology prior to the course, so they understand the structure of DNA and the central dogma of molecular biology (DNA->RNA->protein).

Lectures, computer exercises and project work

Minimum: 5, Maximum: 96.

Please be aware that this course has a minimum requirement for the number of participants needed, in order for it to be held. If these requirements are not met, then the course will not be held. Furthermore, there is a limited number of seats available. If there are too many applicants, a pool will be created for the remainder of the qualified applicants, and they will be selected at random. You will be informed 8 days before the start of the course, whether you have been allocated a spot.