IDENTIFYING DATA 2012_13
Subject (*) BIOCOMPUTING Code 20635214
Study programme
Nanoscience and Nanotechnology (2010)
Cycle 2nd
Descriptors Credits Type Year Period
2.5 Optional Only annual
Language
Anglès
Department Bioquímica i Biotecnologia
Coordinator
PUJADAS ANGUIANO, GERARD
E-mail gerard.pujadas@urv.cat
Lecturers
PUJADAS ANGUIANO, GERARD
Web http://moodle.urv.cat
General description and relevant information The main objective of the course is to know the main bioinformatic's tools and to understand how to use them to solve biological problems.

Competences
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

Learning aims
Objectives Competences
To jnow the main bioinformatic's tools and tu understand how to use them to solve biologic problems. AR7
BR6
CC6

Contents
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.

Planning
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
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

Personalized attention
 
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.

Assessment
  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

Sources of information

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

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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.