NBIK15022U  Advanced Topics in Bioinformatics

Volume 2015/2016
Education

MSc Programme in Bioinformatics
MSc Programme in Biochemistry

Content

The course covers advanced topics in Bioinformatics. The course is based mostly on scientific papers and texts. The topics include

  • The Bayesian view of probability and its history, foundations and applications
  • The Bayesian probability calculus and its approximations
  • Analyzing high throughput sequencing of nuclear DNA
    • Mapping algorithms
    • How to analyze next generation sequencing (NGS) data with a focus on how to deal with the uncertainty of the data in order to perform population genetic and medical genetic analysis
  • Assembly of genomes and transcripts
  • Other topics relating to high-throughput DNA sequencing
Learning Outcome

Knowledge:

The student will know and understand the main methods used in the course. More specifically, the student will obtain knowledge of

  • Fundamentals of Bayesian statistics
  • Analysis of high-throughput sequencing data
  • Genome and transcriptome assembly

 

Skills:

The student will be able to

  • Do the types of data analyses covered in the course
  • Interpret results of such analyses in a biological context
  • Explain the methods covered in the course
  • Select the appropriate methods and tools for a given problem covered in the course

 

Competences:

The student will obtain or improve these general competences

  • Will be able to discuss and explain methods in bioinformatics with researchers in bioinformatics and related sciences
  • Will be able to contribute to interdisciplinary projects involving biological sequence analysis
  • Will be able to read, understand, and discuss scientific literature in bioinformatics

See Absalon.

Competencies corresponding to 3 out of 4 of the mandatory courses in the bioinformatics graduate programme or equivalent.
Lectures and exercises (7 hours per week), and homework (4 in total).
The course is prepared for the bioinformatics graduate programme, but it is open to third year BSc students and MSc students in general.
Credit
7,5 ECTS
Type of assessment
Continuous assessment
Mandatory homework assignments. Grade based on the average number of points obtained in the assignments
Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners
Re-exam

Renewed hand in of mandatory homework assignments.

Criteria for exam assesment

In order to achieve the grade 12 the student must be able to demonstrate an excellent fulfilment of the learning outcome described above.

  • Category
  • Hours
  • Exam
  • 20
  • Preparation
  • 122
  • Lectures
  • 40
  • Practical exercises
  • 24
  • Total
  • 206