Opinto-oppaat
2017–2018
Arkistoitu opetussuunnitelma 2017–2019
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
BIO2200
Introduction to computational biology
3
op
Organised by
Master's Degree Programme in Bioinformatics
Corresponding course units in the curriculum
Keywords
Strategic themes:
Internationalisation
Learning outcomes
After the course, the student can:
- describe different types of biological sequencing data and their functional elements.
- access the databases and tools that provide information about sequences.
- describe high-throughput measurement technologies and their applications.
- explain the benefits of integration of different measurement data types.
- explain the role of computational analysis in biomedical research.
- list some applications of computational analysis and mathematical models in biosciences.
Contents
- Deep sequencing, microarrays, mass spectrometry, high throughput imaging and their applications.
- Biological databases
- Genomes and variations
- Epigenetics and gene regulation
- Mathematical modeling
Modes of study
Option
1
Available for:
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
Lectures and weekly exercises
Participation in course work
In
English
Evaluation
Numeric 1-5.Belongs to following study modules
Lääketieteen ja biotieteiden tiedekunta
Lääketieteen ja biotieteiden tiedekunta
2017–2018
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
For Open University students only
Lääketieteen ja biotieteiden tiedekunta