| Code |
12827
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| Year |
3
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| Semester |
S2
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| ECTS Credits |
6
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| Workload |
PL(30H)/T(30H)
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| Scientific area |
Biochemistry
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Entry requirements |
None.
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Mode of delivery |
Face-to-face
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Learning outcomes |
The course aims to introduce students to different algorithms and computational techniques used in modern bioinformatics and to their application in solving problems in biology and medicine, with emphasis on applications of molecular biology.
At the end of this course students should be able to:
- Know the most important biological databaeses and collect information from these databases.
- Know how to parameterize adequately the most common search and sequence alignment algorithms.
- Understand the motivations, assumptions and limitations of computational techniques that are applied to solve problems in biology.
- Identify research directions in Bioinformatics.
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Syllabus |
1. Introduction to Bioinformatics
2. Algorithms and tools in Bioinformatics
3. Databases of biological interest
4. Sequence alignment methods and construction of phylogenetic trees
5. Pattern or motif detection methods
7. Gene expression data analysis methods
8. Methods for studying the interaction of proteins and biological networks
9. Methods for predicting protein structure and function
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Main Bibliography |
1.Bioinformatics: An Introduction, Jeremy Ramsden, Third Edition, Springer-Verlag London 2015.
2.Algorithms in Bioinformatics: A Practical Introduction, Wing-Kin Sung, CRC Press 2010.
3.Essential Bioinformatics, Jin Xiong Cambridge, University Press, 2006.
4.An Introduction to Bioinformatics Algorithms, N.C, Jones & P. Pevzner, MIT Press, 2004
5.Introduction to Bioinformatics, 4th Edition, Arthur M. Lesk, Oxford University Press, 2014.
6. Scientific papers and other complementary materials provided by the professor .
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Teaching Methodologies and Assessment Criteria |
Theoretical classes followed by discussion of the presented algorithms, complemented with small theoretical and practical exercises. Practical classes with the use of computers and conducting group work. For students to learn to solve problems in the field of biology and medicine using bioinformatic techniques it is important to know how to use the right tools. Students have the opportunity, with guidance of the teacher, to use these tools and test different parameterisations. It is also planned to carry out two practical works with public presentation about areas of recent research in Bioinformatics.
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Language |
Portuguese. Tutorial support is available in English.
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