Course syllabus

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Welcome to NGS analysis with clinical applications

 

The course contains a combination of lectures and practical sessions that introduce the analysis and interpretation of clinical NGS data applying various bioinformatics tools. It covers essential concepts in molecular biology and genetics as well as DNA re-sequencing (variant analysis) and RNA sequencing (gene expression analysis)

 

About the course:

  • The course will be given remotely, via Zoom
  • The course comprises approximately 145 working hours, and you are expected to spend time on your own to complete the exercises and final project.
    • You are expected to attend to at least 80% of the synchronous sessions. Extra tasks will be provided to compensate for a missing session
  • The schedule is shown under the Course summary
    • Q&A sessions are optional, here you can get help on the assignments/final project
    • Own learning are small letures/exercises you should complete at the indicated deadlines
    • Self-studies sessions are time slots for can be distributed as you see fit
    • All assignments must be submitted on Fridays. We do not expect you to work over weekend. However, to add on flexibility, some can be submitted on Sundays.
  • You will be introduced to the data analysis of mutations and gene expression using various bioinformatics web-tools
    • No command line tools will be used
  • The statistical tool R will be introduced to perform some analyses and visualize results
    • No prior knowledge is needed, however no formal programming training will be given
  • We will use Canvas as a learning management system
    • Here we will have all relevant information for the course (schedule, lectures, practicals) and it will be the system where you will be handing in your assignments
    • To access Canvas, you use your GU student account to login
    • Once you are in Canvas, you can change the email to get all information of the course directly to your institutional account or the email account you prefer

 

To pass the course you need to:

  • Attend at least 80% of the synchronous sessions (or compensate for them accordingly)
  • Complete all practicals at the stated deadlines
  • Present the results of the analyses of two clinical datasets (provided by the teaching staff) as a final written report
  • Hold an oral presentation of one of the analyzed datasets

 

Looking forward to meeting you all!

BCF teaching team

 

For any questions contact Marcela Davila at marcela.davila@gu.se

 

Course summary:

Course Summary
Date Details Due