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This content is taken from the Wellcome Genome Campus Advanced Courses and Scientific Conferences's online course, Bacterial Genomes: Antimicrobial Resistance in Bacterial Pathogens. Join the course to learn more.

Skip to 0 minutes and 8 secondsWelcome to Week 3 of the course. My name is Francesc Coll. I'm a Computational Biologist working at the London School of Hygiene and Tropical Medicine. This week, we will introduce what technologies are available to sequence bacterial genomes. We will start investigating how AMR genes and mutations can be detected in bacterial genomes and used to predict antibiotic resistance. We will use online tools to upload, analyse, and interpret real genomic data. We will learn how to use a genome browser to visualise the location of AMR genes and their genetic context in the genomes of individual bacterial strains. On a larger scale, we can use phylogenetic trees to study the transmission and evolution of AMR.

Skip to 0 minutes and 48 secondsFinally, we will discuss the potential clinical and public health applications of sequencing technologies to the diagnosis and surveillance of AMR. We hope you enjoy the last week of the course and look forward to hearing from your comments.

Welcome to Week 3

In this video, Francesc is presenting the contents of the last week of this course.

As you are approaching the end of the course, think about your personal goals and expectations - have they been met so far?

What is it that you are looking forward to learning in Week 3?

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This video is from the free online course:

Bacterial Genomes: Antimicrobial Resistance in Bacterial Pathogens

Wellcome Genome Campus Advanced Courses and Scientific Conferences