MOOC on Antimicrobial Databases and Genotype Prediction: Data Sharing and Analysis
A free online course to learn to predict antimicrobial resistance (AMR), master data-sharing and enhance your expertise in AMR genomics using cutting-edge databases is open for registration.
Duration: Three weeks, five hours per week
Start Date: The course has run since 30 September 2024. After this period, the course will remain open for completion for a further six weeks, but without facilitation by the educators.
Why join this course?
You will learn how to effectively utilise AMR genotype-phenotype databases to advance your research, clinical practice and public health efforts. You’ll begin by understanding how AMR data is created and how these insights can enhance your work. This foundational knowledge will empower you to interpret AMR data with confidence and clarity.
After grasping data creation, you’ll discover how to effectively detect AMR in your own data using various tools and algorithms. You’ll learn to navigate AMR databases, understand their strengths and limitations, and harmonise outputs from different sources.
Next, you’ll learn how to share AMR data and understand how to do it in a FAIR (Findable, Accessible, Interoperable, Reusable) manner. At this point, you’ll also discuss the principles of open access data and explore databases for storing public data, as well as delving into future trends, including AI and machine learning, and how they are furthering AMR research and application.
Who is this course for?
Early career researchers, healthcare professionals at any stage, and public health experts who are familiar with AMR but have limited experience with genotypic data. No advanced prior knowledge is required, just a basic understanding of AMR concepts and a desire to enhance your expertise.