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Informatics Applied to Biological Sciences

Code 17252
Year 1
Semester S1
ECTS Credits 6
Workload PL(30H)/T(30H)
Scientific area Informatics
Entry requirements n/a
Learning outcomes 1. Identify and describe algorithms and techniques used in Bioinformatics.

2. Explore databases of biological interest and extract relevant information from them.

3. Explore tools of interest for problem-solving in molecular biology and biomedicine.

4. Explore existing implementations of the most common algorithms for various computational problems and implement their parameterizations appropriately.

5. Identify current research directions.
Syllabus 1. Introduction to Computer Science Applied to Biological Sciences
2. Bioinformatics Tools, Algorithms, and Libraries
3. Databases of Biological Interest
4. Sequence Analysis Methods (Pairwise Alignments)
5. Methods for Obtaining Multiple Sequence Alignments and Building Phylogenetic Trees
6. Gene Expression Analysis Methods (Clustering and Biclustering)
7. Biological Networks and Protein Interaction Analysis Methods
8. AlphaFold and Protein Structure Prediction
9. Biological Data Processing and Analysis
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. Articles and material made available by the professor.
Language Portuguese. Tutorial support is available in English.
Last updated on: 2025-10-01

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