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:
Master's degree 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
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Two courses among the followingThree courses among the followingOne course among the followingOne course among the following2° Year activated in the A.Y. 2023/2024
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Two courses among the followingThree courses among the followingOne course among the followingOne course among the following| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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2 courses among the following ("BIOTECHNOLOGY IN NEUROSCIENCE" 1ST YEAR; "CLINICAL PROTEOMICS" 1ST and2ND 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 (2022/2023)
Teaching code
4S003671
Teacher
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
MED/03 - MEDICAL GENETICS
Period
Semester 1 dal Oct 3, 2022 al Jan 27, 2023.
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)
Bibliography
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.
Learning assessment procedures
The exam consists of an oral test based on all the course contents
Evaluation criteria
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.
Criteria for the composition of the final grade
The exam is passed if the evaluation is greater or equal to 18/30.
Exam language
Inglese, English
