• March 4, 2024

SUS-MIRRI.IT: New training course set up during 2024

SUS-MIRRI.IT: New training course set up during 2024

SUS-MIRRI.IT: New training course set up during 2024 1024 1024 SUS-MIRRI.IT

Here you are the calendar of the next new training course set up during SUS-MIRRI.IT

  • UO: 24 – Università degli Studi di Verona

Title: Taxonomic approaches and identification procedures of prokaryotes.

Title: The biofilm: structure, characteristics and methodological approaches for investigation

Online

  • UO: 08 – CNR, Istituto di Ricerca Sulle Acque (CNRIRSA), Sede di Verbania

Title: Module1: aquatic microbial communities isolation and assessment methods.

Module 2: protein identification through nLC-HRMS proteomics and real data-based bioinformatic analysis of large protein datasets. Module 3: high throughput sequence analysis of amplicon sequencing data (metabarcoding) and analyses of the communities in terms of diversity and composition. This can apply to bacteria, fungi, and meiofauna. R-based course with packages DADA2, vegan, ggplot2, phyloseq. Possibility of an introductive module on the use of R. Hands-on and Q&A final session with UO data

Online

  • UO: 23 – Università degli Studi di Sassari

Title: Module1: Management and conservation of microbial communities of food interest

Module 2: Procedures and processes for the certification of collections.

In presence

  • UO: 14 – Università degli Studi della Basilicata

Title: Module 1: Protocol for selecting starter culture for fermented beverages: scale-up from laboratory to pilot scale.

Module 2: Metabolism of lactic acid bacteria: bioreactor cultivation strategies, metabolites production and improvement of performances

In presence

  • UO: 05 – CNR, Istituto di Biologia e Biotecnologia Agraria, IBBA, Pisa

Title: Characterization of microorganisms useful for agro-food and environmental applications

Hybrid

  • UO: 02 – CNR, Istituto di Scienza dell’Alimentazione, ISA, Avellino

Title: Microbial biobanks: building, preservation and application

In presence

  • UO: 03 – CNR, Istituto per la Protezione Sostenibile delle Piante, IPSP, Bari

Title: Characterization by electron microscopy of yeast cells expressing viral proteins

In presence

  • UO: 15 – Università degli Studi di Cagliari

Title: Identification and probiotic characterization of lactic acid bacteria

In presence

  • UO: 04 – CNR, Istituto di Scienze delle Produzioni Alimentari, ISPA, BARI

Title: Module1: Identification and characterization of toxigenic fungi of agro-food interest. Module 2: Isolation and characterization of probiotic and pro-technological microorganisms. Module 3: Microbial culture collections: How to improve the quality management systems?

In presence

  • UO: 17 – Università degli Studi di Milano-Bicocca

Title: Module 1: From isolation and molecular microbial characterization to storage and data collection for bacterial and viral isolates from human and environmental sources.

Module 2:  Bioinformatics tools for functional and taxonomic characterisation of microbiomes

In presence

  • UO: 18 – Università degli Studi di Modena e Reggio Emilia

Title: High-throughput characterization of food-related microorganisms

Online

  • UO: 20 – Università degli Studi di Palermo

Title: Basic training course on conservation, propagation and application of customised starter cultures for local traditional agrifood SME

In presence

  • UO: 07 – CNR, Istituto per la Protezione Sostenibile delle Piante – IPSP, TORINO

Title: Detection and diagnosis of plant viruses: biological assays, electron microscopy, PCR, LAMP

In presence

  • UO: 22 – Università degli Studi di Parma

Title: Culture independent quantitative techniques for the detection and quantification of lactic acid bacteria in foods. Topics: DNA extraction from complex matrices, primer and probe design for quantitative assays, primer validation, Real Time PCR or Digital PCR setup.

In presence

Title: The phenotypic and genotypic characterization of food-borne lactic acid bacteria. Topics: genotypic characterization by REP-PCR, comparative analysis of electrophoretic profiles using Bionumerics software, phenotypic characterization with GENIII plates, analysis of phenotypic data with statistical software, entry of information into the microbial collection database.

Hybrid