Genomics Project#
With the project work we will aim to explore practical applications of the approaches and concepts for genomics data analysis we have discussed in class. Working on real data sets, you will be able to collect first/further experience in bioinformatics data analysis and in the process develop a multi-stage data analysis workflow.
In general, the projects are designed to mimic real-world analysis settings, but do not try to answer a fully fledged research question. They are created to give you room to explore bioinformatics project work in a safe environment.
After completing the project, you should be able to identify the necessary analytical steps in a given (complex) sequence analysis problem. You are further able to implement these steps by choosing the appropriate analysis methods. Lastly, you are able to integrate the individual methods’ outputs and interpret the result in context of the given sequence analysis problem.
General information#
Alongside the Genomics block of this lecture, we will provide two separate projects. In this setting the second project is optional. All relevant competencies can be gained with the first project. The second project provides a different use case and can be carried out optionally. The two projects are as follows:
Analysis of human DNA-sequencing data for the purpose of variant calling and interpretation.
Analysis of mouse RNA-sequencing data for the purpose of gene expression analysis and differential testing.
In the beginning of this description, we will first bring up some general tasks that are worthwhile completing for either of the projects. Afterwards, we will provide further details and tasks for each project, inviting you to complete them.