Level of course: PhD course
Time of year: 24-28 June 2019
Hours per week: 35 hrs in one week
Capacity limits: 40 participants
Objectives of the course:
At the end of the course, the students should have a detailed knowledge of bioinformatics methods for genome analysis using next-generation sequencing data. This includes knowledge of the existing types of sequencing data, how the different types of data can be displayed and analysed, the current methods for genome assembly and analysis, their accuracy, and how to apply them. The course will train the participants to devise and analyse a real genomics project involving NGS data.
Learning outcomes and competences:
At the end of the course the student should be able to:
Course participation and submission of a data analysis report.
The course will start with an overview of current NGS technologies and directions in which these are currently progressing. Methods for assembling genomes from NGS data using either a reference genome or de novo assembly will be presented together with some emphasis on assessing NGS data quality (Quality control, accuracy of base calling). The course will then offer an overview of the range of biological/biomedical questions that these new types of data can help to address. This includes:
To allow hands-on data analysis training, the course includes the following computer exercises, which can be completed using either your own or example data:
3 years study of molecular biology, biology, mathematics, engineering or computer science.
Name of lecturers:
Mikkel Schierup and Stig Uggerhøj Andersen
Type of course/teaching methods:
One-week intensive course including lectures, colloquia and computer exercises.
Review and research articles.
No longer available
Individual written report
Bioinformatics Research Center (BiRC), Aarhus University
Special comments on this course:
June 24-28, 2019.
Bioinformatics Research Center, Aarhus University, Building 1110, C.F. Møllers Allé 8, 8000 Aarhus C
Deadline for registration is 20 May 2019.