Systems Biology and Network Analysis
A.Y. 2025/2026
Learning objectives
Systems biology is the study of interrelationships between molecular constituents of a living cell through the integration of experimental and computational approaches. Most biological characteristics arise from complex interactions between the cell's functional elements; to understand how genes determine phe¬notypes, both in physiology and disease, it is necessary to adopt quantitative methods that allows a holistic approach. The course describes the principles useful to explore interactions by introducing methods for the analysis of gene-regulatory and large-scale networks exploiting availability of big functional genomics data sets. Analysis and modelling of genetic and epigenetic determinants of gene expression regulation will be considered.
Expected learning outcomes
Systems biology is the study of interrelationships between molecular constituents of a living cell through the integration of experimental and computational approaches. Most biological characteristics arise from complex interactions between the cell's functional elements; to understand how genes determine phe¬notypes, both in physiology and disease, it is necessary to adopt quantitative methods that allows a holistic approach. The course describes the principles useful to explore interactions by introducing methods for the analysis of gene-regulatory and large-scale networks exploiting availability of big functional genomics data sets. Analysis and modelling of genetic and epigenetic determinants of gene expression regulation will be considered.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Course currently not available
Lesson period
First semester
ING-INF/06 - ELECTRONIC AND INFORMATICS BIOENGINEERING - University credits: 6
Lectures: 48 hours