In this course, you will follow in the footsteps of the bioinformaticians investigating the COVID-19 outbreak by annotating the SARS-CoV-2 genome and using the annotation to design a COVID-19 diagnostic test. Whether you’re new to the world of computational biology, or you’re a bioinformatics expert seeking to learn about its applications in the COVID-19 pandemic, or somewhere in between, this course is for you! As you go through this journey, we will introduce and explain genomic concepts and give you many opportunities to practice your skills, and we will provide a series of problems with gradually increasing complexity. This second course will only discuss the annotation of the SARS-CoV-2 genome, but future courses in this series will explore follow-up bioinformatics analyses used in the COVID-19 pandemic.
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Hacking COVID-19 — Course 2: Decoding SARS-CoV-2's Secrets
University of California San DiegoAbout this Course
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Beginner Level
No prerequisite knowledge necessary
Approx. 6 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Bioinformatics
- PCR primer design
- viral genome annotation
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Beginner Level
No prerequisite knowledge necessary
Approx. 6 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
2 hours to complete
Week 1
2 hours to complete
1 video (Total 9 min), 1 reading, 1 quiz
4 hours to complete
Week 2
4 hours to complete
1 video (Total 11 min)
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