Module 1: 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

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

Online