This course will cover the topic of Whole genome sequencing (WGS) of bacterial genomes which is becoming more and more relevant for the medical sector. WGS technology and applications are high on international political agenda, as the classical methods are being replaced by WGS technology and therefore bioinformatic tools are extremely important for allowing the people working in this sector to be able to analyze the data and obtain results that can be interpreted and used for different purposes. The course will give the learners a basis to understand and be acquainted with WGS applications in surveillance of bacteria including species identification, typing and characterization of antimicrobial resistance and virulence traits as well as plasmid characterization. It will also give the opportunity to learners to learn about online tools and what they can be used for through demonstrations on how to use some of these tools and exercises to be solved by learners with use of freely available WGS analysis tools .
Whole genome sequencing of bacterial genomes - tools and applicationsUniversidad Técnica de Dinamarca (DTU)
Acerca de este Curso
Habilidades que obtendrás
- 5 stars69,69 %
- 4 stars23,99 %
- 3 stars4,10 %
- 2 stars1,26 %
- 1 star0,94 %
Principales reseñas sobre WHOLE GENOME SEQUENCING OF BACTERIAL GENOMES - TOOLS AND APPLICATIONS
A well structured course covering a broad range of topics, and being a part of this course was an amazing learning experience..
Thanks to DTU and Coursera family....
It was an immense journey throughout the course. The structure of the course, so organized and informative. Truly appreciate Coursera and the DTU instructors for the course.
The course is using cutting-edge genome sequencing technology and the authentic software to showcasing the applications and tools of genome sequencing. It is a great chance to learn it.
It is a very good course, easy to follow, needs to be updated with respect to some details of the bioinformatic tools presented with the changes of version of the tools through time.
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