|Course Code :||2001WETBIN|
|Semester:||Semester: 2nd semester|
|Study load (hours):||84|
|Contract restrictions: ||Exam contract not possible|
|Language of instruction :||Dutch|
|Exam period:||exam in the 2nd semester|
At the start of this course the student should have acquired the following competences:
An active knowlegde of :A passive knowledge of :
English handouts and extra material will be provided. A number of lessons may be given in English, due to the involvement of foreign researchers.
- General knowledge of the use of a PC and the Internet
General notion of the basic concepts of:
Specific prerequisites for this course:
Students without basic background in (molecular) biology will be invited to follow (about 3) introductory lessons.
2. Learning outcomes
Acquiring insight in handling and analysis of molecular biologica data using computational techniques.
Understanding the background principles of a selection of computational techniques and models that are frequently used in bioinformatics.
- Being able to select the appropriate technique for a given problem, and being able to apply it.
- Knowing how to use, access, search the most important public molecular biological databases.
3. Course contents
The bioinformatics course aims to give students essential insights in the most important computational techniques used for the analysis of molecular (system) biological data. The student will also learn how to select the right strategy for a given task.
- DNA & protein sequence databases and formats
- sequence search algorithms
- pairwise an multiple sequence alignment
- motifs & profiles
- introduction to phylogenetics and genome analysis
- secundary and tertiary structure prediction of proteins
- protein & gene classification
- gene ontologies
- handling transcriptome & proteome data
- data integration
- networks: pathways, interaction-networks,
- introduction to systems modeling
The practical sessions give students a chance to apply some of the discussed algorithms to solve a concrete problem.
4. Teaching method
Class contact teaching: LecturesPractice sessions
Personal work: ExercisesAssignments:In group
5. Assessment method and criteria
Examination: Oral without written preparationOpen book
6. Study material
Course material and handouts will be provided.
The following study material can be studied on a voluntary basis:
Interesting books and websites will be mentioned during the lessons and in the handouts.
7. Contact information
The teacher is available under following coordinates, preferentially after appointment by email.
Intelligent Systems Laboratory (ISLab)
University of Antwerp
Middelheimlaan 1, G.219, B-2020
T +32 (0)3 265 33 10
Biomedical Informatics research center Antwerpen (biomina)
T +32 (0)3 821 59 47
(+)last update: 30/07/2012 10:52 jan.vos