Quantitative methods for Omics Data (qOmics)
Milano
Master 2 Level
English
15 months
blend-mista
Vision
The education project aims to study more in depth classic and advanced statistical and computational methodologies for the analysis of omics data. The purpose is to impart skills in basic knowledge and delve into advanced topics in the following areas: tout-court omics (genomics, proteomics and metabolomics), personalized medicine, integration and management of data from heterogeneous omics sources.
This type of knowledge is highly relevant to figures working in life sciences and who need to expand their quantitative tools and skills to deal with the new availability of omics data for both research and business purposes.
NB. The deadlines indicated in the Announcement have been changed as follows:
- Application Deadline: 3rd April 2024
- Selection Date: 10th Aprile 2024 at 10 am
- Publication of Ranking list by 17th April 2024
- Closing Date for Registration: 6th May 2024
Mission
The increasing availability and the capability to acquire omics data from heterogeneous sources makes it necessary to train specialized profiles who can handle this type of data. This demand from the Italian and global labor market has been growing steadily in recent years. This Master aims to train this type of figures combining theoretical notions and practical experiences within the interdisciplinarity of the most current tools of these disciplines.
Teaching Organization
456 hours of Lectures
198 hours of Stage/Project Work
Exams and Attendance
Teachings
- Principle of descriptive statistics
- Introduction to R language
- Principle of descriptive and inferential statistics
- Main statistical tests and models
- Introduction to R language
- Main experimental design applied to the biological context
- R programming for data cleaning
- Introduction to the aspects related to privacy (iso27001), to patents and to the storage of samples and data production
- Data culture
- Data management systems, relational databases, Pandas
- Main representations of data and their use
- Acquisition of the main bioinformatics tools for assembling a genome
- From Sample to Omics Data - Genomics, Metabolomics, Proteomics
- Methodologies for integrating data from heterogeneous sources
- The field of interest of genetic epidemiology
- Genetic variability and the role in determining phenotype
- The main study designs
- The parametric and nonparametric linkage
- Genetic association and Genome Wide studies
- Role of rare genetic variables and study methods
- NGS in molecular diagnostics: Bioinformatic methods for data analysis (realignment, variant
calling and annotation) - Somatic mutations, germlines and rearrangements
- Gene variant study and clinical classification
- Process optimization and data management
- Exome sequencing in diagnostic settings
- Hints of Pharmacokinetics and Pharmacodynamics
- Design a clinical trial that considers omics data and lead to characterization of markers for
treatment monitoring, association with pathways in order to identify which pathways change in
response to a drug - Adverse drug reactions and biomarkers of hypersensitivity
- Genome browser
- Next Generation Sequencing
- Variant caller
- Transcriptomics
- Non-relational databases; textual databases
- API for access to major omics databases
- Functional enrichment
- Criteria for application of omics methodologies to the study of diseases, integration of omics
data approaches through Systems Biology and Systems Medicine, concept of endotype and
personalized medicine, methods of marker validation and evaluation therapeutic effects, Study Cases
Scientific Committee
Mauri
Gentilini
Monti
What skills do you gain?
Quantitative methods for Omics Data (qOmics)
Who is it aimed at ?
Newly graduate students Degree in Biological Science and Biotechnology; Master Degree in Biology and Industrial biotechnology.
The qOMICS Master has been positively evaluated by the chairs if the education coordination councils of the bachelor's degree courses in Biological Science and in Biotechnology and the Master’s Degree in Biology and Industrial biotechnology, as well as by the National Association of the Italian Biotechnologist. In particular the ladder said: “The figure trained in this program, will have easy access to the labor market and cover uncovered professional niches. With the expansion of metagenomics, the precision medicine and more in general of the omics methodologies in different industries (starting with pharmaceuticals ones), this type of figures are highly require on the labor market. From the point of view of the recruiter, finding candidates with the appropriate mix skills is always difficult: for this reason, the Master’s contents are crucial and can determine the success or failure of those pursuing master's degrees in the job market.”
6
STUDENTS
TRAINED
+384
TRAINING
HOURS
PROVIDED
1
YEARS
OF EDITION
4
COMPANIES
INVOLVED
%
SATISFACTION PARTICIPATION IN THE COURSE from AlmaLaurea
%
EMPLOYMENT OF THE SINGLE MASTER from AlmaLaurea
Professional opportunities
Pharmaceutical Industries
Research centers, IRCCS, CNR, University laboratories
Research biomedical institutes
Private biobanks
Entities/companies involved in tracking and/or assessing food safety and quality
Genetic test analysis laboratories
Course News
