CABANA Workshop: Genomic Analysis of Crop Biodiversity using R
Date: 25 - 28 June 2019
This course will provide training on using R in genomics applications for crop biodiversity. The first day will cover the basics of biodiversity and R, before analyzing various genomes to assess biodiversity. This will include hierarchical clustering, correlating genomic data with geographic and phenotypic information and investigating gene-phenotype relationships and microsatellites. This course will use genomic data of wheat, maize and chilli pepper as training datasets throughout the week.
This course will be jointly taught by Octavio Martinez de la Vega (LANGEBIO, Cinvestav) and Manuel Humberto Reyes-Valdes (UAAAN).
Venue: LANGEBIO, Cinvestav Libramiento Norte Carretera Leon Km 9.6
Region: Irapuato
Country: Mexico
Postcode: 36821
Target audience: 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/
Capacity: 25
Activity log