Academic year2016/17
CourseMOLECULAR AND CELLULAR BIOLOGY
Code178EE
Credits3
PeriodSemester 1
LanguageItalian
| Modules | Area | Type | Hours | Teacher(s) |
| BIOINFORMATICA | INF/01 | LEZIONI | 32 | |
Programma non disponibile nella lingua selezionata
Knowledge
The students who successfully completed this course will be able to use the most common and diffused bioinformatics tools, useful to help their research in molecular biology. In particular, they will acquire a prtactical knowledge about:
a) biology-related public databases (nucleic acids, proteins, genomics, protein structures, metabolomics, etc.), b) the searching strategies, and c) the way to evaluate the statistical significance of the obtained results.
Assessment criteria of knowledge
The multiple-choice test is aimed at detecting the confidence degree that the student has acquired in the use of bioinformatics software and web tools.Methods:
- Periodic Quizzes/multiple choice
Teaching methods
Delivery: face to face
Learning activities:
- attending lectures
- Laboratory work
- ICT assisted study
Attendance: Not mandatory
Teaching methods:
- Lectures
- Task-based learning/problem-based learning/inquiry-based learning
- laboratory
Syllabus
Basic elements of information theory. Biological sequences databases. Structure of EMBL, Genbank, Uniprot and similar. Searching the databases using keywords. Sequence alignment problem and relative most used algorithms, FastA and BLAST. Homology searches. Results evaluation. Structures databases (SCOP, PROSite, PDB, etc). Comparing and evaluating structures. Basic elements of structure prediction methods. Metabolic network databases. Basic elements of metabolic network and genetic network simulation.
Bibliography
Fundamental books:
A. Lesk, “Bioinformatica”, McGraw-Hill, 2004.
G. Valle et al., “Bioinformatica”, Zanichelli, 2003
S. Pascarella, A. Baiardini, "Bioinformatica", Zanichelli, 2005
Recommended readings:
A. Tramontano, “Bioinformatica”, Zanichelli, 2002.
P. A. Pevzner, “Computational Molecular Biology”, MIT Press, 2000.
A.D. Baxevanis, B.F. Francis Ouellette, “Bioinformatics”, J. Wiley and Sons, 1998.
J. Setubal, J. Meidanis, “Introduction to Computational Molecular Biology”, PWS Publ., 1997.
A. Lesk, “Protein Architectures”, Oxford U.P., 2002.
Updated: 14/11/2016 17:27
