Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
Queste informazioni sono destinate esclusivamente agli studenti e alle studentesse già iscritti a questo corso. Se sei un nuovo studente interessato all'immatricolazione, trovi le informazioni sul percorso di studi alla pagina del corso:
Laurea in Biotecnologie - Immatricolazione dal 2025/2026.The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year activated in the A.Y. 2016/2017
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3° Year activated in the A.Y. 2017/2018
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One course to be chosen among the followingOne course to be chosen among the following| Modules | Credits | TAF | SSD |
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One course to be chosen among the followingOne course to be chosen among the followingLegend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Bioinformatics and biological databases (2016/2017)
Teaching code
4S02701
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
BIO/10 - BIOCHEMISTRY
Period
II sem. dal Mar 1, 2017 al Jun 9, 2017.
Learning outcomes
The course aims to introduce the student to bioinformatics, providing basic notions basically focused on the analysis of both nucleotide and protein sequences. The course will provide both theoretical and practical bases of algorithms, programs and methods for searching and analyzing sequence data contained in biological databases.
At the end of the course students will be able to:
Navigate among different biological databases and know how and where retrive the data
Analyze sequence data by searching similarity in database
Compare, analyze and manage sequence data using different types of programs for sequence alignments.
Program
1. Introduction to bioinformatics
2. Biological databases: primary and secondary databases, search methods in biological databases.
3. Substitution matrix BLOSUM and PAM
4. Introduction to pairwise sequence alignment: dot matrix, algorithm based on dynamic programming (Smith-Watermann, Needlman-Wunsch) , heuristic programs (BLAST and FASTA)
5. Multiple alignments: introduction to multiple alignment algoritms (clustalW and T-Coffee). Positional weight matrices, PSI-BLAST and methods based on Hidden Markov Model (HMM)
6. Introduction to phylogenetic analysis and phylogenetic trees
7. Structural biology: computational methods to study secondary and tertiary protein structure.
Examination Methods
Written with open question regarding the argument of the course
