An Introduction to Solving Biological Problems with R

BeginnersPrerequisitesUpdated

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.

The course website providing links to the course materials is here.

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

• Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
• Further details regarding eligibility criteria are available here
• Further details regarding the charging policy are available here

• 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
• Reading and writing data tables
• Manipulating data in R
• Basic R graphics
• High level plotting functions

• Customizing plotting functions
• Starting out with statistical tests
• Creating a reproducible report in R
• Data analysis and R automation with examples
• Advanced data analysis and integration of data from multiple sources
• Loops and branching as useful data processing techniques

To enable bench scientists with no previous programming background to perform simple data manipulation and analysis tasks with R

Presentations, demonstrations and practicals

Participants may find it useful to look over this R tutorial

2

A number of times per year

• R object-oriented programming and package development
• Analysis of high-throughput sequencing data with Bioconductor