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Code 12827
Year 3
Semester S2
ECTS Credits 6
Workload PL(30H)/T(30H)
Scientific area Biochemistry
Entry requirements None.
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 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 .
Teaching Methodologies and Assessment Criteria The periodic assessment consists of a test (solved individually), 4 practical assessments (carried out in groups of 2 elements):

- Test of theoretical and practical knowledge (T) – 60%

- Practical assessment, carried out in practical classes in groups of 2* through:
- - 4 practical assessments (P1, P2, P3 and P4) - 40%

- - Attendance of 50%* of practical classes;

- Final grade= 0.1xP1+0.1xP2+0.1xP3+0.1xP4+0.6*T

The student obtains the classification of Passed/exempt from the exam when obtaining a final grade equal to or greater than 9.5.


Admitted to the exam if:
Attendance of 50%* of practical classes;
Final grade of the academic period equal to or greater than 6.

Exam (60%) + 40% (related to practical assessments already carried out)
Language Portuguese. Tutorial support is available in English.
Last updated on: 2024-06-11

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