Next-generation-sequencing analysis

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.

In this course, you will learn the core concepts of Next Generation Sequencing (NGS) and their computational analysis. The advent of NGS technologies has transformed how biological research is being performed and today almost all biological fields use the technology for cutting-edge discoveries. Today, a human genome can be sequenced in a very short time for under $1000 giving unprecedented possibilities for investigating human traits, evolution, and diseases. Similarly, the genetic material of entire bacterial communities can be sequenced and the interplay with the environment studied, this has lead to the discovery of novel useful enzymes and organisms. As these experiments produce massive amounts of data bioinformatics skills and supercomputing is crucial for the analysis. The aim of the course is to give the students knowledge of NGS technologies with a focus on data analysis. The course will qualify the students to understand NGS data and enable them to analyze these in an UNIX/Linux working environment. The last part of the course will be project work that is based on the students own data or data from public databases.

Lectures, computer exercises and project work