| TAMS23 | Statistical methods in bioinformatics, 6 ECTS credits. /Statistiska metoder i bioinformatik/ |
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Area of Education: Natural Sciences Subject area: Mathematics |
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| Advancement level
(A-D): C
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| Aim: Introduction to basic probabilistic and statistical techniques and models applied in bioinformatics and computational molecular biology |
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| Prerequisites: (valid for students admitted to programmes within which the course is offered) A first course in probabilty theory, a first course in statistical inference Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding. |
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| Organisation: Lectures and computing exercises |
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| Course contents: Probability and statistical inference, Poisson processes and Markov chains, Random walks, Modelling of DNA sequences, Hidden markov models, estimation and hypothesis testing in problems of bioinformatics, continuous time Markov chains, models of evolution, Jukes and Cantor |
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| Course literature: Warren J. Ewens and Gregory R. Grant, Statistical methods in Bioinformatics. An Introduction. Springer 2001. |
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| Examination: | |||
| One written examination |
4 p |
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Course language is Swedish. Department offering the course: MAI. Director of Studies: Eva Enqvist Examiner: Timo Koski Link to the course homepage at the department Course Syllabus in Swedish |
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