Principles and applications of the following technologies: Genomics Technologies- high-throughput sequencing technologies; Transcriptomics technologies - Affymetrix Technology, Illumina Technology; Proteomics Technologies - solid and liquid microarray technologies, mass spectrometry technologies; Metabolomics Technologies - mass spectrometry technologies and magnetic nuclear resonance technologies. Basic principles of the common analytical tools.
Aim of the course is to train students on advanced chemical and biochemical methods in 'omic' sciences. In this course, in fact, students will learn the basic principles of genomics, transcriptomics, proteomics, metabolomics technologies. Statistical methods for data analysis and integration will also be part of the course, to help in the interpretation of the produced –omics data. The course will illustrate how these 'omic' data can be applied and adapted to answer major questions in biomedicine and in other fields of research.
Prerequisites
none
Teaching Methods
frontal lessons and professional formative activities
Further information
For information contact by email
Prof Anna Maria Gori
annamaria.gori@unifi.it
Prof. Leonardo Tenori
tenori@cerm.unifi.it
Prof. Elena.sticchi@unifi.it
Type of Assessment
The oral test will include all the topics of the lessons.
Course program
Lectures (32 h): Introduction to Omics sciences. Principles and applications of the following technologies: Genomics Technologies- high-throughput sequencing technologies; Transcriptomics technologies - Affymetrix Technology, Illumina Technology; Proteomics Technologies - solid and liquid microarray technologies, mass spectrometry technologies; Metabolomics Technologies - mass spectrometry technologies and magnetic nuclear resonance technologies. Basic principles of the common analytical tools. Applications of Omic sciences to biotechnology, health and pharmaceuticals, nutritional sciences.
Laboratory practice (24 h): Example of software and bioinformatics tools for the analysis and interpretation of genomics and transcriptomics data. DNA extraction for High Throughput Sequencing (HTS). Preparation of samples for gene expression analysis Sample preparation per genomics e transcriptomics. Sample preparation, acquisition of the data using a 600 MHz NMR instrument, processing of the spectra using Amix and Topspin software, data analysis using the "R" statistical environment.