| Código |
15861
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| Ano |
2
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| Semestre |
S2
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| Créditos ECTS |
6
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| Carga Horária |
T(30H)/TP(30H)
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| Área Científica |
Biotecnologia
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Mode of delivery |
Face-to-face
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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, ...
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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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Teaching Methodologies and Assessment Criteria |
The assessment of the teaching-learning period consists of 2 tests (completed individually), 3 practical assessments (completed individually) and 1 challenge (in pairs).
Theoretical and practical knowledge test (T1 and T2) – 12 (6+6) points
Practical assessment, carried out in practical classes through:
3 practical assessments (P1,P2,P3) – 6 (2+2+2) points
1 challenge (D) – 2 points
Minimum attendance of 60%.
The student obtains the classification of Approved/exempted from the exam if he/she obtains:
Minimum attendance of 60% in pratical class;
Grade T1+T2 >= 6
Final grade >= 10
Or
Admitted to exam, if:
60%* attendance of practical classes;
Final grade >= 6
Exam (60%) + 40% (relating to practical assessments and challenge already completed)
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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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| Language |
Portuguese. Tutorial support is available in English.
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