Course provided by Coursera

Study type: Online

Starts: Anytime

Price: $49


The field of metagenomics and whole community sequencing is a promising area to unravel the content of microbial communities and their relationship to disease and antimicrobial resistance in the human population. Bioinformatic tools are extremely important for making sense out of metagenomics data, by estimating the presence of pathogens and antimicrobial resistance determinants in complex samples. Combined with relevant explanatory data, metagenomics is a powerful tool for surveillance.

– the difference between the concepts of metagenomics and other microbial genomics
– the need to use controls in different steps of a metagenomics study
– the advantages of metagenomics for the surveillance of antimicrobial resistance
– how sampling design, sample size, sample material and sample handling influence the outcome of a metagenomics study
– sample processing for bacterial and viral metagenomics
– different sequencing platforms and their possibilities regarding metagenomics
– the steps involved in a general metagenomics study, including quality control, mapping to different databases, and read count analysis
– the principles behind various tools available for analysis of metagenomics data
– how to interpret read classification results
– the need for epidemiology in surveillance
– the concept of global and integrated surveillance
– the challenges for the use of metagenomics in surveillance
– the potential of metagenomics for surveillance

We look forward to welcoming you !