Bioinformatics
Keywords |
Classification |
Keyword |
OFICIAL |
Medical Informatics |
Instance: 2017/2018 - 2S 
Cycles of Study/Courses
Acronym |
No. of Students |
Study Plan |
Curricular Years |
Credits UCN |
Credits ECTS |
Contact hours |
Total Time |
MIM |
6 |
Current Studies Plan |
1 |
- |
3 |
27 |
81 |
Teaching language
Suitable for English-speaking students
Objectives
To educate the student in the main concepts and techniques currently used in the important area of compational biology. Ultimately, our goal is that the student wil be able to actually address new computationally significant tasks in the area.
Learning outcomes and competences
In the end, it is intended that the student:
1 has familiarized himself with the basic concepts of Bioinformatics, with emphasis on Computational Molecular Biology;
2 Knows and understands the associated types and sources of data, as well as the most important computational problems;
3 Understands the most interesting and important algorithms, in particular on sequence alignment, phylogenetics and pattern recognition (on the genome, proteome and interaction networks).
4 Has a perspective on the most popular tools and of open research question in the area.
Working method
Presencial
Program
Computational Problems in Molecular Biology.
Overview of Molecular Biology Fundamental Concepts.
Genome Assembly.
Pairwise and Multiple Sequence Alignment.
Phylogenetic Trees.
Systems Biology and Biological Network Analysis.
Mandatory literature
Durbin Richard 070;
Biological sequence analysis. ISBN: 0-521-62971-3
Complementary Bibliography
Deonier Richard C.;
Computational genome analysis. ISBN: 0-387-98785-1
Teaching methods and learning activities
Theoretical expository classes, accompanied by examples, and some practical usage of existing tools.
Evaluation Type
Distributed evaluation with final exam
Assessment Components
designation |
Weight (%) |
Apresentação/discussão de um trabalho científico |
30,00 |
Exame |
30,00 |
Trabalho prático ou de projeto |
40,00 |
Total: |
100,00 |
Calculation formula of final grade
The evaluation has into accont the following three components:
- Article Presentation (A): 30%
- Project (P): 40% (optional)
- Written Exam (E): between 30% and 70%
The final grade is obtained using the following formula:
A*30% + maximum(E*70%, E*30% + P*40%)