Wellcome Connecting Science: Antimicrobial databases and genotype prediction

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About the course

 

This online course covers antimicrobial resistance databases, the origin and forms of data they contain, how they are used for research and public health and the ways we can contribute to them.

Duration

3 weeks / 15 hours of learning

CPD

15

Who should attend?

This course is designed 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.

Location

FutureLearn platform

Course Organiser and Speaker

Wellcome Connecting Science in collaboration with team of experts: Dr Conor Meehan, Dr Jane Hawkey, Dr Kristy Horan, and international contributors.

Learning Objectives for the course

  • By the end of the course, the learners should be able to:
  • Explain the genotypic basis of AMR
  • Contrast and critique the various ways to predict AMR from linked genotype/phenotype data
  • Discuss the various AMR databases and their related pros and cons
  • Explain how different AMR prediction tools can be operated and their outputs interpreted and implemented, understanding the current pitfalls of those tools
  • Describe the process required to create and share FAIR and open AMR data.

 

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