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Bioinformatics

Code 11492
Year 1
Semester S2
ECTS Credits 6
Workload PL(30H)/T(30H)
Scientific area Informatics
Mode of delivery Face-to-face
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.
Syllabus 1. Introduction.
2. Fundamentals of Molecular Biology.
3. Databases of biological information.
4. Alignment of biological sequences.
5. Heuristic methods for searching databases.
6. Analysis of microarray gene expression data.
7. Structural alignment of proteins.
8. Prediction of protein structure and function.
9. Applications and research in Bioinformatics.
Main Bibliography 1. Main bibliography:
- Bioinformatics: An Introduction, Jeremy Ramsden, Third Edition, Springer-Verlag London 2015.
- Algorithms in Bioinformatics: A Practical Introduction, Wing-Kin Sung, CRC Press 2010.

2. Complementary bibliography:
- Essential Bioinformatics, Jin Xiong Cambridge, University Press, 2006.
- Introduction to Bioinformatics, 2nd edition, Arthur M. Lesk, Oxford University Press, 2002.
- Digital Code of Life, Glyn Moody, Wiley, 2004.
- Bioinformatics for Dummies, 2nd edition, Jean-Michel Claverie, Cedric Notredame, Wiley, 2006.
Language Portuguese. Tutorial support is available in English.
Last updated on: 2019-07-09

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