Genomics II

General information

The material presented here is integral part of the lectures. It consists mostly of refreshers and background information that we recommend you to review prior to the corresponding lecture.

In addition, at the bottom of this document, we provide a link to additional exercises. While the background material is tailored to be read before the corresponding lecture, the exercises are thought to be worked on after the lecture has presented the concepts. The exercises are not mandatory and are complementary to the project work carried out for this section of the class. The exercise sessions will deepen the algorithmic understanding of concepts discussed in the and have a stronger focus on programming / scripting. The exercise for this lecture will explore read alignment filtering and variant calling, using the Python programming language.

The following material will provide background and context information on Bayesian statistics and the concept of linkage.