training More information will follow Course leader: Marcin Kierczak ([email protected]) and Sebastian DiLorenzo ([email protected]) Course description The course is addressed to life scientists with little or moderate experience in programming but enthusiastic about learning how to use R to make their work smoother and easier. The course covers fundamental concepts of programming and software design focusing on programming in R. We will go through various aspects of R scripting with some more attention paid to the parts useful for life scientists. After introductory lectures on good programming practices, basic software design theory and a brief overview of R, we will delve into programming. We start by learning how to use R as a simple calculator, what are variable types, how to use data structures, how to implement repeating actions with and without loops, how to take actions based on certain condition. We gradually proceed to loading data, importing data from common file formats, we do some basic matrix algebra; learn how to perform basic statistical tests and how to visualize results. We will also put stress on giving you tools to access help and information on R-related challenges and issues, we will spend some time on learning how to install external packages, how to find bugs and address common installation issues. We also mention some more advanced topics and tell you more about BioConductor that is an invaluable tool for a computational biologist. You will also learn how to document your work and how to generate automatic reports. We try to illustrate all these concepts with some real-life examples and interesting lab tasks. The course will be given by experienced computational biologists from SciLifeLab and Uppsala University. Dr. Marcin Kierczak responsible for the content of the course is an experienced R user/coder, who has previously developed R packages and has experience in teaching programming and R to different audiences. Course literature We recommend the following books for the course: N. Matloff, “The Art of R Programming”   Book   Free PDF R.I. Kabacoff, “R in Action”   Book/Ebook and preview   38% discount code: ria38 Entry requirements Good general computer literacy is expected, but no previous experience in programming or R is required. You are expected to know basic concepts in mathematics and statistics, but the emphasis on the course is to learn how to use R. Participants are expected to use their own computers with pre-installed R and R Studio (detailed instructions will be given upon acceptance). Due to space constraints for the computer exercises, there are a maximum number of allowed participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.