Spectroscopic techniques combined with Machine Learning methods of interpretation of metabolomic big data to obtain information on microbial strains

February 19, 2024

When

February 19, 2024

All Day

Spectroscopic techniques (HRMS, NMR, NIR) combined with Machine Learning methods of interpretation of metabolomic big data to obtain information on microbial strains. Industrial application

UO: 01 – Università degli Studi di Torino;

Online

SUS-MIRRI.IT Headquarter

University of Turin
Via Verdi 8, 10124, Turin, Italy
Scientific Coordinator: Prof. Cristina Varese

This web platform was produced under the workpackage 3 of the project “Strengthening the MIRRI Italian Research Infrastructure for Sustainable Bioscience and Bioeconomy” (SUS-MIRRI.IT) and has received funding from the “PNRR M4C2 Iniziativa 3.1 - Infrastrutture di Ricerca (IR), cod. MUR IR0000005”.