Lectures are provided as well as at least 3 CFU of practical exercises in the computer lab carried out individually or in small groups. Knowledge: The aim of the course in bioinformatics is to provide an introduction to the knowledge and use of bioinformatic tools freely available on the World Wide Web, for the sequence analysis of nucleic acids and proteins, and more generally of the data available in biological databases. Ability to apply the knowledge: At the end of the course the student will be able to use the information available in biological databases and some of the most important bioinformatic tools to study nucleotide and protein sequences. Soft skills: Individual and group exercises in the computer lab will contribute to improve the autonomy level as well as communication skills also arising from work in groups.
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The course provides, on one side, a general overview of biological problems, and, on the other side, describes the main techniques used to deal with these problems.
The student will be able to discuss with the biologist, to understand the biological problem at hand, and to suggest a solution based on the techniques learned during the course. Exercises and discussions with the students during the lessons are the main tools for controlling the learning experience.
A final written test checking the acquired knowledge lasts 90 minutes and evaluates the student ability to answer both theoretical questions and solving problems related to the topics introduced during the course. Moreover, an oral exam consists in the review of a scientific article, chosen by the student and related to the topics of the course. Introduction to molecular biology.
Sequence alignment algorithms. Multiple sequence alignment algorithnms. Phylogenetic tree construction algorithms. Protein structure prediction algorithms. Gene networks: models and inference algorithms. Organization and query of biological databases. Valle, M. Helmer Citterich, M. Attimonelli, G. Pesole "Introduzione alla Bioinformatica", Zanichelli Ed. Krane e M. Welcome and orientation Admission requirements How to apply Recognition of academic qualifications Tuition fees and financial aid Learning Italian.
Thesis and graduation Continuing studies Job placement and Internship Diploma supplement. Before you leave home When you arrive Turin and surroundings.
72709 - Advanced Genomic in Animal Production
Teacher Luca Fontanesi. Credits 6. Language Italian. Insegnamenti online - IOL.