Bioinformatics: An Introduction to Solving Biological Problems with 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.
The Course Web Site 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 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
| # | Date | Time | Venue | Trainers | |
|---|---|---|---|---|---|
| 1 | Thu 22 Aug 2013 09:30 - 17:30 | 09:30 - 17:30 | Department of Genetics, Room G12 | map | David Molnar, John Davey |
| 2 | Fri 23 Aug 2013 09:30 - 17:30 | 09:30 - 17:30 | Department of Genetics, Room G12 | map | David Molnar, John Davey |
- 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
Booking / availability