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| title | description |
|---|---|
| Introduction to Bio-Informatics | Historical course details for Introduction to Bio-Informatics, recovered from the previous Incognito wiki. |
:::caution[Historical information] This information originated in the previous wiki and may be outdated. Check the current Maastricht University course information before relying on it. :::
Full course description
Introduction to Bio-Informatics introduces the student to the fundamental methods and techniques of bioinformatics in biomedical and biological research. The main objective of the course is that the student acquires a general understanding of bioinformatics methods at the algorithmic level. This will enable the student to read and understand publications in this field, and apply their knowledge in concrete biological problems. The major areas and problems in bioinformatics will be discussed, such as sequence alignment, phylogenetic analysis, gene finding and gene expression analysis. The lectures and computer lectures in this course will be based on relevant real case-studies that highlight the main topics in the course. After completing this course the student has obtained a general understanding of bioinformatics methods at the algorithmic level. The student will be able to understand the major problems in bioinformatics and how their knowledge can be applied to such problems.
Prerequisites
None.
Recommended reading
Introduction to Computational Genomics, A Case Studies Approach, Nello Cristianini, Matthew W. Hahn, Cambridge University Press, 2006, Hardback and Paperback (ISBN-13: 9780521856034 | ISBN-10: 0521856035).
Video: **Profile Hidden Markov Models - ** https://www.youtube.com/watch?v=vO_6xfLwGao
Files
- Bio Exam 2015-04-02
- Estimating A Markov Transition Matrix From Observational Data
- Hmms And Sequence Alignment
- Ibi Exam2016oct
- Ibi Exam 2017
- Ibi Jukes-Cantor And Subsitution Models
- Ibi Notes Evelina
- Ibi Resit2017jan
Source: Previous wiki page