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
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.
1° Year
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1 module among the following1 module among the following1 module between the following1 module between the following1 module between the following2° Year activated in the A.Y. 2022/2023
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1 module among the following1 module among the following1 module between the following1 module between the following1 module between the following| Modules | Credits | TAF | SSD |
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1 module among the following1 module between the following1 module between the following| Modules | Credits | TAF | SSD |
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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.
Bioinformatics (2021/2022)
Teaching code
4S00183
Teacher
Coordinator
Credits
6
Also offered in courses:
- Bioinformatics of the course Master's degree in Agri-Food Biotechnology
Language
Italian
Scientific Disciplinary Sector (SSD)
BIO/11 - MOLECULAR BIOLOGY
Period
Primo semestre dal Oct 4, 2021 al Jan 28, 2022.
Learning outcomes
Over the last decade the technological improvements of sequencing technologies (Next Generation Sequencing, NGS) had an enormous impact on the understanding of the genomes complexity and had provided interesting opportunities for the development of bioinformatics tools and programs for data analysis and management. The course aims to provide a general overview of the different computational methods applied in the field of NGS and omics science. These new technologies, which made possible to move from a reductionist to a holistic approach, have made it necessary to develop new strong interdisciplinary methods for data interpretation and integration. The course will provide students with basic knowledge on bioinformatics tools for the interpretation and integration of different omics data applied to the study of genomes, of gene expression and of metagenomic data for community analysis and microbial characterization. The course will also include a part performed in a computer lab where the computational programs necessary for the manipulation and interpretation of biological data will be illustrated.
Program
Introduction to next-generation sequencing data (NGS)
a. Bias and technology sequencing errors illuminate
b. FastQ format
c. Sequences quality check
d. Sequences pre-processing
2. NGS data alignment on a reference genome
a. Alignment of genomic and rna-seq sequences
b. SAM / BAM format
3. Analysis of transcriptomic data and RNA-seq
a. Transcripts reconstruction (genome-guided / denovo)
b. Gene quantification
c. Data normalization
d. Identification of differentially expressed genes
4. Genomes analysis
a. Genome assembly
b. Resequencing and identification of variants
c. Structural variants
d. VCF and gVCF file format
5. Computational methods for the analysis of metagenomic data
a. Metabarcoding
b. Whole Metagenome Sequencing
c. Taxonomic assignment
d. Metrics for the analysis of microbial complexity (alpha and beta diversity)
6. Introduction to system biology and omics data integration
Examination Methods
The exam consists of a written verification of the level of knowledge regarding the argument of the course. The exam consist of six open questions. The student need to demonstrate the understanding of the method and application of the major bioinformatic programs and approaches learned during the course.
