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 magistrale in Molecular and Medical Biotechnology - 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.

2° Year  It will be activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
Final exam
40
E
-
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
Final exam
40
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
2 modules among the following (Biotechnology in neuroscience and Clinical proteomics 1st and 2nd year; the other modules only 2nd year)

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

4S003671

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

MED/03 - MEDICAL GENETICS

Period

Semester 1  dal Oct 1, 2024 al Jan 31, 2025.

Courses Single

Authorized

Learning objectives

The course aims to provide the core skills to manage “big data” in the genomics era.The course will focus on R programming, basic scripting and data processing. At the end of the course, the student will know the basics on how to use the main command-line tools for files and strings handling within the context of genomics such as DNA sequence files and pedigree files containing information on individual genotypes.

Prerequisites and basic notions

Knowledge of the fundamentals of human genetics

Program

Specifically we aim to furnish the knowledge to:
- work into a Linux environment and bash scripting
- use R and its libraries for bioinformatic analyses (Bioconductor project)
- collect and collate genetic data from diverse sources
- arranging directories, renaming and archiving files
- convert files from one format into another
- prepare pipelines of commands for repetitive tasks (for instance, same analyses over more samples)
- learn the fundamentals of Perl and Python programming (hacking pre-existing programs to accomplish novel tasks)
The topics will be illustrated using real-life bioinformatic case studies (for instance, GWAS, exome or transcriptome analyses)

Didactic methods

The methods adopted for teaching consist of lectures with interaction with students aimed at transmitting the knowledge required by the program on the relevant topics, with in-depth lessons aimed at achieving the objectives of the course.