| Código |
13422
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| Ano |
3
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| Semestre |
S2
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| Créditos ECTS |
6
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| Carga Horária |
PL(30H)/T(30H)
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| Área Científica |
Ciências Biomédicas
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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. 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
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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 (carried out in groups of 2 students) and 2 challenges (individual).
Theoretical and practical knowledge test (T1 and T2) – 12 (6+6) points
Practical assessment, carried out in practical classes (in groups of 2 students) through:
3 practical assessments (P1,P2,P3) – 6 (2+2+2) points
2 challenges (D1 and D2) – 2 (1+1) points
Minimum attendance of 50%.
Final grade = 0.1xP1+0.1xP2+0.1xP3+0.05xD1+0.05xD2+0.3xT1+0.3xT2
The student obtains the classification of Approved/exempted from the exam if he/she obtains a final grade equal to or higher than 9.5 points.
Or
Admitted to exam, if:
50% attendance of practical classes;
Final grade of the academic term equal to or higher than 6.
Exam (60%) + 40% (relating to practical assessments and challenges already completed)
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Main Bibliography |
- Reading materials provided by the teacher.
- Bioinformatics: An Introduction, Jeremy Ramsden, Third Edition, Springer-Verlag London 2015.
- Algorithms in Bioinformatics: A Practical Introduction, Wing-Kin Sung, CRC Press 2010.
- Essential Bioinformatics, Jin Xiong Cambridge, University Press, 2006.
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| Language |
Portuguese. Tutorial support is available in English.
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