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- European Bioinformatics Institute (EBI)2
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Target audience
- The course is suitable for graduate students and young researchers with a background in biology who are keen to become proficient bioinformaticians within the fields of genomics and/or transcriptomics. We will start with the basics, so students with no prior programming knowledge are welcome. We have a number of Linux computers that you can use, and you can bring your own laptops*. Please note this course will be taught in English, however the trainers are fluent in either Spanish or Portuguese, and can offer language support where feasible. A number of travel fellowships are available for this course - early-stage researchers and researchers from underrepresented groups are especially encouraged to apply for CABANA travel fellowships. You can apply for travel fellowships via the course application form. *If you bring your own laptop (any operating system is fine), you must have installed the following programs: R (at least version 3.5), the latest Rstudio and Bioconductor. To download R please visit: https://www.r-project.org/ To download RStudio please visit: https://www.rstudio.com/products/rstudio/download/ Bioconductor must be downloaded and installed via R, instructions on how to do this can be found here: https://www.bioconductor.org/install/1
- This course is aimed at researchers from postgraduate level upwards interested in using R to analyse genomics data for crop biodiversity studies. Please note this course will be taught in English, however the trainers are fluent in Spanish, and can offer language support where feasible. A number of travel fellowships are available for this course - early-stage researchers and researchers from underrepresented groups are especially encouraged to apply for CABANA travel fellowships. You can apply for travel fellowships via the course application form. Prerequisites An undergraduate level degree in plant biology or a related discipline would be an advantage. You will need to know basic commands in R in order to get the most from this course, though a review of basic concepts and commands in R will be covered on the first day. You can find a good introduction to R here: http://www.r-tutor.com/r-introduction You will also need to bring a laptop with R installed and working knowledge of how to navigate your working directory effectively using R commands. To download R please visit: https://www.r-project.org/ To download RStudio please visit: https://www.rstudio.com/products/rstudio/download/1
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