Type A
|
Code |
Competences Specific |
|
Research |
|
AR7 |
Learning to interpret how chemical and biological processes operate on the basis of intermolecular interactions. |
Type B
|
Code |
Competences Transversal |
|
Research |
|
BR6 |
Comprometre’s amb l’ètica i la responsabilitat social com a ciutadà i com a profesional. |
Type C
|
Code |
Competences Nuclear |
|
Common |
|
CC6 |
Acquiring basic IT skills |
Objectives |
Competences |
To jnow the main bioinformatic's tools and tu understand how to use them to solve biologic problems. |
AR7
|
BR6
|
CC6
|
Topic |
Sub-topic |
1. Introduction. |
What is bioinformatics?
Fundamentals of structure of nucleic acids and proteins.
Genome and proteome.
The evolution at the molecular level.
Distance matrices.
Major databases of nucleic acids and proteins.
Data mining in databases of molecular biology: the SRS. |
2. Sequence comparison. |
Measures of similarity between two sequences.
Alignment of two sequences.
Multialignment
Phylogenetic trees.
Application of sequence comparison in data mining. |
3. Comparative analysis of genomes. |
Analysis and annotation of genomes.
Application of comparative genomics in the reconstruction of metabolic pathways. |
4. Structure / function of proteins relationship. |
Fundamentals of experimental determination of protein structure.
The PDB database: data mining and analysis in it the information contained therein.
Analysis of protein structure using molecular visualization software.
Structural evolution relationship and correlation with structure / function.
Prediction function.
Docking.
|
5. Obtaining structural information of proteins of unknown structure. |
Prediction of secondary structure.
Prediction of folding.
Homology modeling.
|
6. Protein engineering. |
Properties of the proteins that could be improved.
Selection of mutations according to property improvement.
Mutagenesis "in silico."
|
7. Introduction to Perl Programming |
Basic programming with PERL.
Design of bioinformatics algorithms. |
Methodologies :: Tests |
|
Competences |
(*) Class hours |
Hours outside the classroom |
(**) Total hours |
Introductory activities |
|
1 |
0 |
1 |
|
Problem solving, classroom exercises |
|
15 |
30 |
45 |
|
Personal tuition |
|
8 |
8 |
16 |
|
|
(*) On e-learning, hours of virtual attendance of the teacher. (**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies
|
Description |
Introductory activities |
Presentation of the lecturers. Presentation of the course: its objectives, contents, bibliography, evaluation forms, etc.. |
Problem solving, classroom exercises |
Formulation, analysis, discussion and resolution of problems or exercises. The student must have worked the exercises previously and the discussion is through the web (ICT). |
Personal tuition |
|
|
Description |
Meetings with students either individually or in small groups to answer questions, indicate areas of improvement and guide the overall development of the subject. |
|
|
Description |
Weight |
Problem solving, classroom exercises |
The students must sent to the lecturer the assigned exercises by email at the end of each topic. |
100 |
|
Other comments and second exam session |
|
Basic |
Adams M.D., Fields C., Venter J.C. (Eds.), Automated DNA sequencing and analysis., Academic Press, last edition
Baxevanis A., Ouellette F.B.F. (Eds.), Bioinformatics: a practical guide to the analysis of genes and proteins., John Wiley and Sons,, last edition
Bishop M.J., Rawlings C.J. (Eds.), DNA and protein sequence analysis. A Practical approach., IRL Press, last edition
Bishop M.J. (Ed.), Guide to human genome computing. Second edition., Academic Press, last edition
|
- Adams M.D., Fields C., Venter J.C. (Eds.)
Automated DNA sequencing and
analysis. Academic Press, London (1994).
- Baxevanis A., Ouellette F.B.F. (Eds.)
Bioinformatics: a practical guide
to the analysis of genes and proteins. John Wiley and Sons, New York
(1998).
- Bishop M.J., Rawlings C.J. (Eds.)
DNA and protein sequence analysis. A
Practical approach. IRL Press, Oxford (1997).
- Bishop M.J. (Ed.)
Guide to human genome computing. Second
edition. Academic Press, London (1998).
|
Complementary |
|
|
|
Other comments |
There is no special requirement to take the course. But it is essential to have a computer with Internet connection |
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. |
|