Summary of the week 2
Week 2 focused on detecting antimicrobial resistance in genome data. Key topics included evaluating three major AMR databases, understanding the types of AMR mechanisms these databases can and cannot detect, and exploring different methods for detecting AMR using these databases.
This week’s material also explained how important it is to harmonize outputs from different tools into a standardised format.
We hope that you now have a more comprehensive understanding of the strengths and limitations of various AMR databases, how to use them for AMR detection in your data, and how to accurately interpret the results.
In Week 3, we will focus on advanced analysis and applications of antimicrobial resistance (AMR) data. You will also gain access to valuable resources and links to available training outside of this course.
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.
Antimicrobial Databases and Genotype Prediction: Data Sharing and Analysis
Antimicrobial Databases and Genotype Prediction: Data Sharing and Analysis
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