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.

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea in Biotecnologie - Enrollment from 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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
12
B
BIO/04
6
A
FIS/07
English language competence-complete b1 level
6
E
-

2° Year   activated in the A.Y. 2018/2019

ModulesCreditsTAFSSD
6
B
BIO/18

3° Year   activated in the A.Y. 2019/2020

ModulesCreditsTAFSSD
6
A
FIS/07
One course to be chosen among the following
One course to be chosen among the following
Training
9
F
-
Final exam
3
E
-
ModulesCreditsTAFSSD
12
B
BIO/04
6
A
FIS/07
English language competence-complete b1 level
6
E
-
activated in the A.Y. 2019/2020
ModulesCreditsTAFSSD
6
A
FIS/07
One course to be chosen among the following
One course to be chosen among the following
Training
9
F
-
Final exam
3
E
-

Legend | 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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S02701

Coordinator

Nicola Vitulo

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

BIO/10 - BIOCHEMISTRY

Period

II semestre dal Mar 4, 2019 al Jun 14, 2019.

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.

Reference texts
Author Title Publishing house Year ISBN Notes
Stefano Pascarella e Alessandro Paiardini Bioinformatica Zanichelli 2011 9788808062192

Examination Methods

The exam consists of a written verification (usually six open question about theory and one question about the laboratory part) of the level of knowledge regarding the argument of the course. The student must demonstrate understanding of the method and application of the major bioinformatic programs and approaches learned during the course. The student will also have to demonstrate how to interpret the results of the programs studied during the course.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE