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 2025/2026The 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
| Modules | Credits | TAF | SSD |
|---|
One course to be chosen among the followingOne course to be chosen among the followingTwo courses to be chosen among the followingThree courses to be chosen among the following2° Year activated in the A.Y. 2021/2022
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
One course to be chosen among the followingOne course to be chosen among the followingTwo courses to be chosen among the followingThree courses to be chosen among the following| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
Two courses to be chosen among the following ("Biotechnology in Neuroscience" and "Clinical proteomics" 1st and 2nd year; the other courses 2nd year only)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.
Programming for genomics (2020/2021)
Teaching code
4S003671
Teacher
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
MED/03 - MEDICAL GENETICS
Period
I semestre dal Oct 1, 2020 al Jan 29, 2021.
Learning outcomes
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.
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)
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Arnold Robbins, Nelson H. F. Beebe | Classic Shell Scripting: Hidden Commands that Unlock the Power of Unix | O'Reilly Media | 2005 | 0596005954 |
Examination Methods
The task of the exam consists in verifying the comprehension of course contents and the ability to properly describe their arguments with appropriate scientific language.
Examination methods are the same for students who attended and for those who did not attend the course.
The exam consists of an oral test based on all the course contents
The exam is passed if the evaluation is greater or equal to 18/30.
