Setting Up Your R Bioinformatics Working Environment

R is a powerful and versatile programming language that is widely used in bioinformatics, data science, and statistics. One of the key benefits of using R is its rich ecosystem of packages and libraries, which allows users to easily perform complex tasks and analyze large datasets – in particular, the tidyverse packages, which provide a lot of data science functionality, and the Bioconductor packages, which are state of the art in biological analysis, have provided great power. To get the best out of these and make sure that you are working in the most productive ways, it is important to use the best tools and employ a clear and organized project structure to ensure that your work is readable, maintainable, and reproducible.

One of the most important aspects of a good project structure is separating the different parts into different files and directories based on their purpose. For example, it is a good practice to keep...