Summary of the week 1

We covered the genetic basis for antimicrobial resistance in bacteria and gave an overview of the ways in which we detect these mechanisms in both research and clinical settings.

After this, we discussed the various computational methods for linking changes in DNA to phenotypic lab results, and how this allows us to predict antimicrobial resistance from genotypic data.

We hope that you now have a strong understanding of how genotypic data is created and validated, as well as the areas where we still need to improve. This will prepare you for using these genotypic antimicrobial resistance databases in your own work.

In the next week of the course we will proceed by exploring different AMR databases.

Here is a reminder about the assessment of learning on this course: If you are interested in obtaining a free digital Certificate of Achievement, you will need to score 70% or above on the final test at the end of Week 3, and complete 90% of the steps in the course.

Please note this test is not compulsory and does not affect your learning on this course, it is only needed if you would like to claim the Certificate of Achievement at the end of the course.