General Information
| Course Code | X_401036 |
|---|---|
| Credits | 3 EC |
| Period | P3 |
| Course Level | 200 |
| Language of Tuition | English |
| Faculty | Faculty of Science |
| Course Coordinator | dr. E. Bosdriesz |
| Examiner | dr. E. Bosdriesz |
| Teaching Staff |
dr. S. Abeln prof. dr. J. Heringa dr. J.M. Urtasun Elizari dr. E. Bosdriesz dr. ir. K.A. Feenstra |
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Part of programme(s)
Bachelor
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Practical Information
You need to register for this course yourself. The (de)registration deadlines can be found on VU.nl
| Teaching Methods | Practical, Lecture |
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Target audiences
This course is also available as:
Course Objective
We can now routinely sequence the DNA of a human genome or map whichgenes are expressed when,
but do we actually understand how these genes work, form a living
organism together, and what can go wrong?
Bioinformatics focuses on the question of what the biological meaning
and function of DNA (and protein)
sequences is, and tries to give answers using computational techniques.
During this course, students get an overview of the most important
topics/techniques within bioinformatics. In particular,
the focus is on the fields of genomics and transcriptomics.
Practical skills students will master at the end of this course are:
- Independently searching for homologous (related) sequences of a DNA
fragment in a large sequence database,
using the BLAST algorithm. Special attention is given to a variant of
this algorithm: PSI-BLAST.
- Being able to interpret the results of a gene expression using plots
made with the statistical program R.
Furthermore, students also develop collaboration skills, because they
have to work on assignments in pairs.
Course Content
The following topics are covered:Theory:
- Genomics, sequence databases and the search for homologues in a
database
- Pairwise sequence alignment (Dynamic programming algorithms)
- PSI-BLAST, evolutionary profiles and protein structures
- Gene expression analysis
- Machine learning methods
Practical assignments:
- Sequence database search: how to search for homologous sequences of
proteins or DNA with the BLAST program.
- Gene expression: how to interpret the results of a gene expression
analysis.
Additional Information Teaching Methods
11 meetings, consisting of 6 lectures, 4 practicals and a question hourfor the exam.
Method of Assessment
Written exam (50%) and two practical assignments (20% and 30%).Entry Requirements
Basic knowledge of molecular biology and statistics.Additional Information Target Audience
2MNW, 3F, 3S, 3-SBI, mBio, mi-Sc, mi-BIAdditional Information
Mandatory for 2MNW students.Third year Bachelor student in any beta or life science discipline
(including Medicine) are allowed to enter.