2025
Bioinformatics Laboratories
Name: Bioinformatics Laboratories
Code: QUI13551M
3 ECTS
Duration: 15 weeks/78 hours
Scientific Area:
Biochemistry
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Sustainable Development Goals
Learning Goals
1.To know, to understand and to valorize the concepts of structural and functional genomics; information technologies to organize, analyze and distribute Biochemical information;
2.Give the capacity to use information technology to organize, analyze and distribute biochemical information in order to respond to complex life problems;
3.To delineate and execute as a team the exploration of bioinformatics resources to know nucleotide and amino acid sequences, domains and protein structure;
4.Critical evaluation of the results obtained by the automatic and large-scale analysis of biochemical information.
2.Give the capacity to use information technology to organize, analyze and distribute biochemical information in order to respond to complex life problems;
3.To delineate and execute as a team the exploration of bioinformatics resources to know nucleotide and amino acid sequences, domains and protein structure;
4.Critical evaluation of the results obtained by the automatic and large-scale analysis of biochemical information.
Contents
1. Historical perspective of Bioinformatics.
2. Data bases and SRS.
3. Algorihtms for sequences alignment
4. Sequences search. Motifs, profile and domains.
5. Servers and tools for genome analysis.
6. Genes and regulator sequences identification.
7. Analysis of biochips.
8. Phylogenetic analysis.
9. Genome and cancer, from genotype to phenotype.
10. Three-dimensional structure of proteins. Mono and three-dimensional alignments.
11. Structural data Bases. The Protein Data Bank. The format of type files .pdb.
12. Protein modelling by homology. Modelling by homology based on Web.
2. Data bases and SRS.
3. Algorihtms for sequences alignment
4. Sequences search. Motifs, profile and domains.
5. Servers and tools for genome analysis.
6. Genes and regulator sequences identification.
7. Analysis of biochips.
8. Phylogenetic analysis.
9. Genome and cancer, from genotype to phenotype.
10. Three-dimensional structure of proteins. Mono and three-dimensional alignments.
11. Structural data Bases. The Protein Data Bank. The format of type files .pdb.
12. Protein modelling by homology. Modelling by homology based on Web.
Teaching Methods
The classes will take place in computer labs involving the use of i) data bases; ii) software for nucleotide and amino acid sequence analysis, in spite of to obtaining biochemical information that will contribute to i) team-elaboration reports of partial and progressive practical protocols, and ii) to elaborate individual written project that equates and solves a biochemical problem of a broad nature.
Evaluation method: continuous, by scales.
Final classification weight:
i) Successful resolution of the exercises proposed in the protocols given by the teacher (30%);
ii) Presentation and oral discussion of the results (20%);
iii) Written project (25%);
iv) Oral presentation/discussion of the project (25%).
Evaluation method: continuous, by scales.
Final classification weight:
i) Successful resolution of the exercises proposed in the protocols given by the teacher (30%);
ii) Presentation and oral discussion of the results (20%);
iii) Written project (25%);
iv) Oral presentation/discussion of the project (25%).
Teaching Staff (2024/2025 )
- António Manuel Teixeira Martins do Canto [responsible]
Certificações
