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
# | Date | Time | Venue | Trainers | |
---|---|---|---|---|---|
1 | Thu 17 Sep 2015 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Suraj Menon, Mark Dunning |
2 | Fri 18 Sep 2015 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Suraj Menon, Mark Dunning |
- 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
Booking / availability