R for Genomics

Date:

14-15 March 2019  REGISTER HERE

Venue:

Edinburgh Genomics, Ashworth labs, The King's Buildings, The University of Edinburgh, Edinburgh, Scotland, UK

Places:

12 for each workshop

You will be contacted by our finance team for full payment. Once payment is made, your place will be confirmed and full details sent by our training team.

Registration fee:

£400

You can cancel up to one month before the workshop and receive a refund minus 30% for administration.

Information:

Contact our training team

 


 

The aim of this course is to introduce participants to the statistical computing language 'R' using examples and skills relevant to genomic data science. This two day workshop is taught by experienced Edinburgh Genomics’ bioinformaticians and trainers. By the end of the workshop, you will be comfortable with the basics of the R and R studio environments, learning about the rules of the language and how R works with different data types. We then move on to using functions, including those specific to genomic science. We look at how to handle various genomic data files and where to find relevant tools via online resources. Finally we use mock RNA-seq data to learn how to visualize your data to generate publication ready plots using the package ggplot2.

 


 

Instructors

  • Katie Emelianova (Bioinformatician)
  • Nathan Medd (Training and Outreach Manager)

Workshop format

The workshop consists of presentations and hands-on tutorials.

Who should attend

Graduates, postgraduates, and PIs, who are using, or planning to use, the statistical software R to manipulate and analyse NGS data in their research. This is an introductory level course: no prior experience of R is necessary before starting the workshop.


 

Covered topics

  • Day 1
    • Introduction to R
    • R fundamentals
    • Using functions
  • Day 2
    • Handling genomic data
    • Data visualisation