Gene content in Archaea, Bacteria and Eukaryotes. Comparative genomics. Gene evolution and gene families. Principles of functional genomics. Comparative transcriptomics. Statistical analysis of genome variability. Environmental genomics: discoveries and applications. Complex systems. Systems biology. Use of network representation. Metabolic modelling
A.M. Lesk, Introduction to genomics. Oxford University Press, 2017
Russell. iGenetics: a molecular approach. Pearson. 2010
Learning Objectives
Knowledge acquired: Basic and advanced knowledge on structural, comparative and functional genomics and of methods in systems biology. Knowledge on methodologies for genome analysis
Competence acquired :The student has acquired competence on the study of complex biological systems and genomes and on the experimental and bioinformatic techniques for their investigation
Skills acquired (at the end of the course): The student is able to autonomously set up an experimental and bioinformatic protocol for omics analysis and see the outcomes in both biological and biotechnological terms.
Total hours of the course (including the time spent in attending lectures, seminars, private study, examinations, etc...): 150
Hours reserved to private study and other individual formative activities: 102
Contact hours for: Lectures (hours): 48
Contact hours for: Laboratory (hours):
Contact hours for: Laboratory-field/practice (hours): 0
Seminars (hours): 0
Stages: 0
Intermediate examinations: 0
Further information
Office hours:
Upon request from Monday to Friday
Teaching tools: Additional teaching material will be provided during lectures and through the Moodle platform
Type of Assessment
Exam modality: written
Duration: 1h
Type of questions: open and closed questions
Aim: verify knowledge and competences (problem solving)
Course program
Introduction to systems biology. Holism and reductionism. Networks and their represantation. Properties of graphs. Complexity and measures. Shannon index. Gene content in Archaea, Bacteria and Eukaryotes. Repeated DNA. Nuclear and organelles genomes. Comparative genomics and the evolution of cells. Gene evolution and gene families. Isocores. Evolution of genome architecture. Principles of functional genomics. Study of gene expression. The concept of gene and functional genomics. Control of gene expression at the whole genome level. Comparative trascriptomics. Metabolic modelling from genomic data. Statistical analysis of genome variability. Environmental genomics: discoveries and applications. Bioinformatic tools for the study of structure and function of genomes. Computational methods for integrated omics