NBIK15022U Advanced Topics in Bioinformatics
Volume 2017/2018
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
Literature
See Absalon.
Recommended Academic Qualifications
Competencies corresponding
to 3 out of 4 of the mandatory courses in the bioinformatics
graduate programme or equivalent.
Teaching and learning methods
Lectures and exercises (7
hours per week), and homework (4 in total).
Remarks
The course is prepared for
the bioinformatics graduate programme, but it is open to third year
BSc students and MSc students in general.
Workload
- Category
- Hours
- Exam
- 20
- Lectures
- 40
- Practical exercises
- 24
- Preparation
- 122
- Total
- 206
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Exam
- Credit
- 7,5 ECTS
- Type of assessment
- Continuous assessmentMandatory homework assignments. Grade based on the average number of points obtained in the assignments.
- Aid
- All aids allowed
- 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.
Course information
- Language
- English
- Course code
- NBIK15022U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 1
- Schedule
- B
- Course capacity
- No limitation
- Continuing and further education
- Study board
- Study Board for the Biological Area
Contracting department
- Department of Biology
Course Coordinators
- Thomas Wim Hamelryck (8-7a6e67736b72787f46686f7534717b346a71)
Saved on the
08-03-2017