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
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 2025/2026The 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. 2019/2020
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3° Year activated in the A.Y. 2020/2021
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Un insegnamento a scelta1 module to be chosen among the following| Modules | Credits | TAF | SSD |
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Un insegnamento a scelta1 module 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 (2019/2020)
Teaching code
4S02701
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
BIO/10 - BIOCHEMISTRY
The teaching is organized as follows:
Modulo 2
Modulo 1
Learning outcomes
The course aims to introduce the student to bioinformatics, providing basic notions basically fo-cused on the analysis of both nucleotide and protein sequences. The course will provide both theo-retical and practical bases of algorithms, programs and methods for searching and analyzing se-quence 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.
Bibliography
| Activity | Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|---|
| Modulo 2 | Stefano Pascarella e Alessandro Paiardini | Bioinformatica | Zanichelli | 2011 | 9788808062192 | |
| Modulo 1 | Stefano Pascarella e Alessandro Paiardini | Bioinformatica | Zanichelli | 2011 | 9788808062192 |
Examination Methods
The exam covers both the theoretical part (module 1) and the laboratory part (module 2).
Both parts will be assessed during a single exam.
The exam on the theory part consists of a written test (typically 4 open questions) which aims to verify the level of knowledge acquired relating to the topics covered in the course.
The student must demonstrate to have understood the functioning and application of the main bioinformatics programs and approaches explained in class.
The part relating to the exercises will be carried out on the computer immediately after the written test. Two exercises will be provided which will be solved by putting into practice the skills acquired during the laboratory. The student will also have to demonstrate his ability to interpret the result of the programs studied during the course.
