IDENTIFYING DATA 2018_19
Subject (*) BIOCOMPUTING Code 19204103
Study programme
Bachelor's Degree in Biotechnology (2009)
Cycle 1st
Descriptors Credits Type Year Period
6 Compulsory Second 2Q
Language
Català
Department Biochemistry and Biotechnology
Coordinator
GARCIA VALLVE, SANTIAGO
E-mail eduardo.guzman@urv.cat
miguelangel.montero@urv.cat
santi.garcia-vallve@urv.cat
josep.gomez@urv.cat
veronica.arreaza@urv.cat
Lecturers
GUZMAN DESCARREGA, EDUARDO
MONTERO SIMÓ, MIGUEL ANGEL
GARCIA VALLVE, SANTIAGO
GÓMEZ ALVAREZ, JOSEP
ARREAZA GIL, VERONICA
Web http://moodle.urv.cat
General description and relevant information This subject aims to provide student with basic knowledge about theory and practical applications of the main bioinformatics tools and databases to analyze DNA and protein sequences and to perform bibliographic searches.

Competences
Type A Code Competences Specific
 A7 Be able to search, obtain, analyse and interpret information from the main biological databases: genomic, transcriptomic, proteomic, metabolomics, taxonomic and other, as well as bibliographic data, and use basic bioinformatics tools.
Type B Code Competences Transversal
 B2 Solve complex problems effectively in the biotechnology field.
Type C Code Competences Nuclear
 C2 Be advanced users of the information and communication technologies
 C3 Be able to manage information and knowledge

Learning outcomes
Type A Code Learning outcomes
 A7 Use bioinformatic tools to: a) analyse the structures and sequences of proteins and nucleic acids and b) search for information in the main biological and bibliographic databases.
Type B Code Learning outcomes
 B2 Collect the information they need so that they can solve problems using data and not subjective opinion, and subjecting the information at their disposal to logical analysis.
Type C Code Learning outcomes
 C2 Understand basic computer hardware.
Understand the operating system as a hardware manager and the software as a working tool.
 C3 Locate and access information effectively and efficiently.
Critically evaluate information and its sources, and add it to their own knowledge base and system of values.

Contents
Topic Sub-topic
1) Introduction Definition and field of study.
Bioinformatics Web sites (EBI-EMBL, NCBI, Expasy).
2) Introduction to the Linux operating system Introduction to the operating systems. Installing packages. Terminal for simple tasks.
3) Bioinformatics databases Bibliographic databases (PubMed, ISI Web of Knowledge), sequences databases (UniProt, GenBank). Other databases.
4) Search and sequence analysis Concept of homology. Pair-wise alignments (Needelman-Wunsch and Smith-Waterman algorithms). Dotplot. Substitution matrices (PAM, BLOSUM). Search for similar sequences (BLAST).
5) Multiple alignments and construction of phylogenetic trees Multiple sequence alignment programs (CLUSTAL). Databases derived from multialineaments (PROSITE). Methods of phylogenetic reconstruction. Visualization of phylogenetic trees.

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
Hours outside the classroom
(**) Total hours
Introductory activities
2 2 4
Lecture
A7
28 28 56
IT-based practicals
A7
C2
C3
30 30 60
Problem solving, exercises
B2
C3
2 15 17
Personal attention
4 0 4
 
Mixed tests
A7
C2
C3
3 0 3
Practical tests
A7
C2
6 0 6
 
(*) 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 Activities designed to make contact with students, collect information from them and introduce the subject.
Lecture Description of the contents of the subject. Students' participation will be stimulated by asking questions during the class related to what is being explained and what makes them think.
IT-based practicals Practices in the computer classroom. Exercises will also be carried out using databases and internet servers.
Problem solving, exercises Formulation, analysis, resolution and debate of a problem or exercise related to the topic of the subject.
Personal attention Resolution of doubts by emailing or face-to-face.

Personalized attention
Description
Through the forum of the subject through Moodle, or face-to-face with the teacher.

Assessment
Methodologies Competences Description Weight        
IT-based practicals
A7
C2
C3
Individual resolution of a questionnaire for each topic. 10%
Problem solving, exercises
B2
C3
Bibliographic search of a topic. 20%
Mixed tests
A7
C2
C3
Theoretical-practical examination of topics 1, 3-5. 45%
Practical tests
A7
C2
Practical exam of Topic 2 (linux). 25%
Others  
 
Other comments and second exam session

The evaluation of the second chance consists in an exam, questionnaires, bibliographic search and the practical exam (linux) with the same value as in the first chance. The essential requirement to pass the subject is the presentation of the bibliographic search and the practical linux test. It is necessary a minimum of 4.0 of the exam of topics 1, 3, 4 i 5 (both first and second call), to count the grade of the questionnaires.

It is forbidden the use or the provision of communication and transmission facilities during the realisation of tests, except for the express consent of the teacher.

During evaluation tests, mobile phones, tablets and other devices that are not expressly authorized by the test must be switched off and out of sight.

The demonstration of fraudulent conduct of some evaluative activity of a subject in both material: virtual and electronic support, leads to the student the fail of this evaluation activity. Regardless of this, in view of the seriousness of the facts, the centre may propose the initiation of a disciplinary file, which will be initiated by resolution of the rector.


Sources of information

Basic Lesk, Arthur M., Introduction to bioinformatics, Oxford: Oxford University Press, 2008
Attwood, Teresa K.; Parry-Smith, David J., Introducción a la bioinformática, Madrid: Prentice Hall, DL, 2002
Claverie, Jean-Michel; Notredame, Cedric, Bioinformatics for dummies, New York: Wiley Pub., cop., 2007
Gibas, Cynthia; Jambeck, Per, Developing bioinformatics computer skills, Beijing: O'Reilly, 2001

Complementary

Garcia-Vallve S & Puigbo P. Ciento cincuenta años tras el árbol de la vida. Nuevos retos sobre el origen de las especies. Revista de la SEBBM. Junio 2009. Num. 160:18-21

Recommendations


Subjects that it is recommended to have taken before
STRUCTURE AND FUNCTION OF BIOMOLECULES/19204107
(*)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.