Deploying Shiny applications in the cloud, including platforms like AWS and other cloud services, can be a challenging process for many users, particularly those not familiar with the intricacies of cloud infrastructure. Currently, the lack of specific R tools to manage and simplify this process hinders the efficient and scalable adoption and deployment of Shiny applications. 

The goal of this master's project is to address this issue by developing an R package that enables users to simplify and automate the deployment of Shiny applications in cloud environments, making implementation more accessible without requiring prior experience in server administration or cloud configurations.

The project will involve designing, implementing, and documenting the package, as well as validating it in various cloud environments and Shiny application configurations. The ideal student should ideally have intermediate to advanced programming skills in R, as well as experience with Git and GitHub.

Furthermore, there is an opportunity for the ideal student to continue their research in the laboratory and explore the possibility of pursuing a Ph.D. in the field of computational bioinformatics.

Supervisor: Francesc Català, Roger Paredes