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Visualising Genomics Data with R & Advanced R Skills (2 Days)

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R Course

R: a powerful tool for statistical analysis and data visualisation

R: a powerful tool for statistical analysis and data visualisation

R is a free software programming language and software environment for statistical computing and graphics. R is used by some of the largest organisations in the world and many more statisticians and data miners for developing statistical software and data analysis.

Course Overview: You will gain advanced skills required to analyse the Next Generation Sequencing (NGS) platforms and manage large-scale data sets independently and in a proficient manner. We will also offer a gentle introduction to the bioconductor repository, using tools for the analysis and comprehension of high-throughput modern molecular biology and genomics data.

Course Options: This course is also available as an intensive four-day course or a beginner’s two-day course.

Attendance to individual days can be arranged upon request.

Dates: Wednesday 13th September 2017 - Thursday 14th September 2017 (two days) 

Times: 9am-5pm (includes refreshment and lunch breaks)

The price is inclusive of VAT

Course Code

IRC2017-2

Course Dates

13th September 2017 – 14th September 2017

Course Leader

Dr. Golnaz Shahtahmassebi

Course Fee

£390.00
Course Description

Entry Requirements: This two-day workshop is perfect for those who wish to customise R’s core analytical capabilities for their own purposes and those wishing to visualise sequencing or related kinds of data. This workshop should also help you to integrate R into your NGS workflow. You are expected to know:

  • The basics of R and familiarity with some statistical concepts would be helpful
  • Have some awareness of typical data formats associated with Next Generation Sequencing (NGS) projects would be helpful

 

Day One: Advanced R skills

Learn about:

  • Looping, conditional expressions which perform different computations or actions
  • How to write your own functions and three main parts: input, relationship, output
  • How to perform advanced statistical analyses such as: logistic regression, survival analysis and Bayesian analyses in R using packages including MCMCpack and coda

You will be able to:

  • Define functions, how to define variables and how to return variables through Writing of your own R functions
  • Use R for performing advanced statistical analysis

 

Day Two: Visualising Genomics Data with R

You will learn:  

  • How to visualise and summarise data generated by Next Generation Sequencing (NGS) platforms
  • How to use some helpful packages for handling sequence data (e.g., ape, for phylogenetic analysis)

We will also:

  • Offer a gentle introduction to the bioconductor repository, using tools for the analysis and comprehension of high-throughput genomic data, a discipline in genetics that brings together genetic material from multiple sources to create sequences

You will gain:

  • Skills for visualising experimental data
  • An approach to inspecting and interpreting genomic data
  • The skills required to analyse the Next Generation Sequencing (NGS) and other large-scale data sets independently and in a proficient manner

 

Course Leader Profile: Dr Golnaz Shahtahmassebi

Dr Golnaz Shahtahmassebi is a lecturer in statistics and an applied statistician at Nottingham Trent University. She uses R extensively in her research in statistical and computational methods related to life sciences including medicine, sport, and physics. She has delivered training and support sessions to her students as a part of courses in Mathematics and Statistics at Nottingham Trent and Plymouth Universities.

Additional Information:

For NTU Staff/Student discount please contact 

Email: CST Short Courses