Objectives and Content
The course covers the basics of genomics and transcriptomics analysis. This includes genome-wide analyses (gene prediction, regulatory elements, prediction of noncoding RNAs, next-generation sequencing and analysis, ChIP-sequencing and analysis), and transcriptome-wide analyses (gene expression analysis, analysis of expression of non-coding RNA, microRNA target prediction).
At the end of the course a student should be able to
- explain the statistics basics pertaining to genomics and transcriptomics studies
- review applications and methods of sequencing approaches in genomics, transcriptomics, and proteomics
- create working implementations of genomics or transcriptomics analysis pipelines
Required Previous Knowledge
INF281 Basics of bioinformatics sequence analysis
Recommended Previous Knowledge
Students need to be able to implement basic algorithms in a programming language of their choice and to be well-versed in a command-line Unix environment. A basic understanding of algorithms and efficiency is required.
Compulsory Assignments and Attendance
Forms of Assessment
Oral exam. If more than 20 students take the course, a written exam might be arranged. The compulsory exercises count towards the final grade.
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
INF282: 5 ECTS
Type of assessment: Oral examination
- Withdrawal deadline