| Website: | website containing additional information | ||||||||||||||||||
| Course code: | INFOCB | ||||||||||||||||||
| Credits: | 7.5 ECTS (=5.25 old credit points) | ||||||||||||||||||
| Period: | periode 3 (week 6 t/m 16, dwz 6-2-2006 t/m 21-4-2006; herkansing week 21) | ![]() | |||||||||||||||||
| Timeslot: | B | ||||||||||||||||||
| Participants: | up till now 13 subscriptions | ||||||||||||||||||
| Schedule: | Dit is een oud rooster!
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| Contents: | The life-sciences are quickly becoming the most data-intensive science
due to the development of high-throughput technology such as sequencers,
mass-spectrometers, and microarrays. The long-term goal is to develop
realistic simulation models of cells and organisms. This would, e.g.,
make it possible to test new drugs by computer simulation. Before that goal
is achieved, many fundamental computer science problems have to be solved.
In this course, we concentrate on a collection of problems and solutions for DNA and proteins. The problems are mostly concerned with the similarity between strings (homology), the solutions are based on Hidden Markov Models and Dynamic Programming. If there is enough interest (i.e., students considering to do their thesis in this area) I'll organize a follow-up course either later this year or early next year. See the illustrative website of the course. | ||||||||||||||||||
| Literature: | The book we are going to use is: Biological Sequence Analysis - Probabilistic models of proteins and nucleic acids. by R. Durbin, S. Eddy, A. Krogh, and G. Mitchinson. Cambridge University Press 1998. | ||||||||||||||||||
| Course form: | If the number of students allows it, we'll do the course as a seminar.
The students will teach each other the contents of the book.
There will be much room for discussion.
Next to this presentation, the students are expected to write an essay of maximal 10 pages. | ||||||||||||||||||
| Exam form: | The final grade for this course will be determined by:
* Essay (weight=50%), grading G1 > 5.5 * Presentations and interaction during seminar (weight 50%), grading G2 > 5.5 Final grade: G = 0.5*G1 + 0.5*G2 (passed iff G1 and G2 are both passed). | ||||||||||||||||||
| Minimum effort to qualify for 2nd chance exam: | If you fail either G1 or G2 you will get another chance to pass the course. If you fail both, you will have to redo the course next year. | ||||||||||||||||||