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Bioinformatics

Code 15861
Year 2
Semester S2
ECTS Credits 6
Workload T(30H)/TP(30H)
Scientific area Biotecnologia
Entry requirements None.
Mode of delivery Face-to-face
Learning outcomes The discipline aims to introduce students to different algorithms and computational techniques used in Bioinformatics, with a focus on their practical application.

Specific objectives:
O1) Familiarization with algorithms and computational techniques currently used in Bioinformatics and their application to problem-solving in biology and medicine.
O2) Exploration of computational tools and databases of interest for problem-solving in Bioinformatics.
O3) Identification of research directions in Bioinformatics.
O4) Acquisition and/or reinforcement of soft skills such as teamwork, analytical and argumentative abilities, discussion of ideas with peers and faculty, ...
Syllabus 1.Introduction to Bioinformatics
2. Databases of biological interest
3.Basics of Molecular Biology
4.Basics of Algorithms
5. Pairwise sequence alignment
6.Multiple sequence alignment
7.Clustering and Biclustering
8. Phylogenetic trees
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 .
Language Portuguese. Tutorial support is available in English.
Last updated on: 2025-02-26

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