| Code |
11857
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| Year |
2
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| Semester |
S2
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| ECTS Credits |
6
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| Workload |
PL(30H)/T(30H)
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| Scientific area |
Biotecnologia
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Entry requirements |
N/A
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Mode of delivery |
Face-to-face
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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 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.
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Syllabus |
>> Theory
1. Algorithms: getting started
2. Algorithms for sequence analysis
3. Algorithms for alignment of biological sequences.
4. Algorithms for multiple alignment of biological sequences.
5. Algorithms for motifs search
6. Data modelling
>> Practice
1. Branching and Iteration
2. String Manipulation
3. Decomposition, Abstractions, Functions
4. Python & Rosalind
5. Python & Pandas
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Main Bibliography |
- Lecture notes “Introduction to Computer Science and Programming in Python”, Massachusetts Institute of Technology, 2021.
- Lecture notes “Biology Meets Programming: Bioinformatics for Beginners”, University of California, 2021.
- Bioinformatics with Python Cookbook, 2nd edition, Tiago Antão, Packt Publishing, 2018.
- Bioinformatics: An Introduction, 3th edition, Jeremy Ramsden, Springer-Verlag London, 2015.
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Teaching Methodologies and Assessment Criteria |
Theoretical classes followed by discussion of the presented algorithms, complemented with small theoretical and practical exercises. Practical classes with the use of computers and conducting group work. For students to learn to solve problems in the field of biology and medicine using bioinformatic techniques it is important to know how to use the right tools. Students have the opportunity, with guidance of the teacher, to use these tools and test different parameterisations. It is also planned to carry out a practical work with public presentation about an area of recent research in Bioinformatics.
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Language |
Portuguese. Tutorial support is available in English.
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