Next course: 10th-12th APRIL 2019
Now–> Deadline for registration extended!!! Register until the 13th of March
Registration is now open for this 3 day course developed and offered by both the CBF and the CGR (Centre for Genomic Research) at the University of Liverpool. The contents will cover:
- 10th April 2019: R basics: structures, functions and data manipulation
- 11th April 2019: Visualisation: beautiful plots ready for publication
- 12th April 2019: Introduction to Statistical analyses in R (including univariate tests and Principal Component Analysis)
The course has been designed to introduce R from the very basics. Therefore applicants do not need any prior experience to attend, just the desire to learn R. Real life examples with bioinformatic applications are included.
Please fill in the form available in this link if you would like to register for this course. Applicants will be selected based on the answers to the questions. Successful applicants will be offered a place before the 14th of March 2019 and confirmation of attendance will be finalized when the registration fee is paid. Based on affiliation, these are:
– £300 University of Liverpool
– £500 Other Academic Institutions*
– £700 Industry
*Note that participants from Institutions part of the Technology Directory Memoranda of Understanding may access a 20% discount on the fee. These institutions are the Liverpool School of Tropical Medicine, Liverpool John Moores University, University of Keele, University of Chester and Royal Veterinary College, London. Please contact us if you are interested in applying for this.
Coffee breaks and lunches are included within the registration fee as well as assistance to the workshop dinner. Note that places are limited and a selection process will be undertaken.
This was the first iteration of this very popular course. Below you can consult some of the information about it as next runs will cover similar content.
Some of our participants had this to say about the course:
|The exercices are well paced with a gradual learning curve so they build on previous knowledge. There is a nice flow through the workbooks. Exercise at the end are a good level of hard that you have to think and apply what you have learnt without copy/pasting but not too hard that they are intimidating|
|Very practical focused with is great, knowledgeable trainers who are willing to help. Very good curve in the complexity of the content of the course. Handbooks are also explained clearly so I can easily understand each term in and R code line. Best programming course I have ever attended, even better than my undergraduate programming modules|
|The stats lecture is perfect, tells me exactly what I needed to know! (e.g. key statistical terms, which test to use, when, how to check error/normality). No excessive maths included which is good. Always lined well to the practical sessions|
|The stats lecture will be perfect as a guide for my future work. The written guides are clear and easy to follow so I am glad that I have these|
|Excellent instructors always one available to explain|
R course information, Nov 18:
Open to all academics (students & staff) from all universities and all commercial/industrial scientists from all companies
This 3-day R course was designed and delivered by Dr Eva Caamano-Gutierrez from the CBF and Mr Matthew Gemmell from the Centre for Genomic Research and partially funded by the Natural Environment Research Council (NERC). It primarily focused on the basis of R language and introduction to visualisation and statistics analyses in a three day programme as follows:
- 21st November 2018: R basics: structures, functions and data manipulation
- 22nd November 2018: Visualisation: beautiful plots ready for publication
- 23rd November 2018: Introduction to Statistical analyses in R
The course was designed to introduce R from the very basics. Therefore applicants did not need any prior experience to attend the workshop, just the desire and need to learn R.