Code |
15861
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Year |
2
|
Semester |
S2
|
ECTS Credits |
6
|
Workload |
T(30H)/TP(30H)
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Scientific area |
Biotecnologia
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Entry requirements |
None.
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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, ...
|
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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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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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+0.05*D1+0.05*D2+0.3*T1+0.3*T2
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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Language |
Portuguese. Tutorial support is available in English.
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