Bioinformatics: Introduction to R

BeginnersPrerequisites

This course provides an introduction to the R programming language and software environment for statistical computing and graphics. A variety of examples with a biological theme will be presented. Further information is available.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

• Our courses are open to all who might benefit
• Booking priority is given to people from Cambridge University and Collaborating Institutes
• Individual Course fees are required only from External participants not from Collaborating Institutes

• No prior knowledge of R, or of programming in general, will be assumed
• Some familiarity with command line UNIX would be an advantage but not essential

Number of sessions: 2

• R environment
• Informal introduction to R basics
• Introducing R data objects
• Understanding data types
• Manipulating data in R
• Basic build-in function for data manipulation
• Loops and branching as useful data handling technique
• A guide to using R for everyday data analysis
• Reading and writing data tables
• Data manipulation
• Starting out with statistical tests

• Data analysis and R automation with examples
• Data analysis 'Stepwise'. Interactive R scripting
• Structuring an R progam'
• Functions as procedures
• Functions with arguments
• Advanced data analysis and integration
• Basic R graphics
• High level plotting functions
• Customized plotting functions

To enable bench scientists with no previous programming background to perform simple statistical analyses with R

Presentations, demonstrations and practicals

Participants may find it useful to look over the R tutorial from the computational biology group, Department of Oncology

2

A number of times per year

• An Introduction to R: Software For Statistical Analysis
• Bioinformatics: R object-oriented programming and package development
• Bioinformatics: Microarray Analysis with Bioconductor