Base Knowledge

it is assumed a prior training in Molecular Biology and Genetics.

Teaching Methodologies

To achieve the objectives of the course and the conference of competences foreseen to be provided to students, the teaching-learning process based on:
– Lectures presenting some ot the theoretical contents of the course, sometimes supported by workshops with computers operated by the students;
– Literature search, focused on a few topics of interest;
– Implementation and discussion of computer assays.

Learning Results

Introduction to the use of the computational resources already available in Bioinformatics (user’s perspective) to obtain answers to the questions raised by Molecular Biology, Genetics and Genetic Engineering.
Learning about the scientific fundamentals and the basic techniques used in Bioinformatics. (Note: the acquisition of skills on the operation of the software programs will be strictly necessary for an understanding of the parameters that the user must set for obtaining results).


Reference organisms; genome sequencing and annotation.
Databases for aminoacid and nucleotide sequences in Genome, Transcriptome and Proteome projects to obtain, store, organize, archive, analyze, and visualize data.
Use of computational tools, particularly for DNA and protein sequence analysis, sequences alignment (simple and multiple); motifs search, structural analysis, phylogenetic tree construction, characterization of repeats in genomes).

Grading Methods

  • - Practical Exam - 50.0%
  • - Theoretical Exam - 50.0%




Claverie, JM e Notredame, C (2011). Bioinformatics for dummies. 2ª Ed., Wiley. ISBN: 9781118051108.
Higgs, PG e Attwood, TK (2005). Bioinformatics and molecular evolution. Blackwell, Malden, MA, USA.
Korf, I; Yandell, M; Bedell, J (2003). BLAST. 1ª Ed., O’Reilly Media. ISBN10: 0596002998.
Lesk, AM (2005). Introduction to bioinformatics. 2ª Ed., Oxford University Press. ISBN: 0199277877.
Mount, DW (2004). Bioinformatics: Sequence and genome analysis. 2ª Ed., Cold Spring Harbor Laboratory Press. ISBN: 0879697121.
Recursos WEB com aplicações bioinformáticas.