This thesis focuses on leveraging containerization and specifically investigates the use of Docker to package and deliver computational genomics software tools. Computational genomics is a rich research field with a broad range of applications from medicine, to studying of diseases and drug treatments. Limitations exist in bioinformatics which include the interoperability of tools and the managing of those tools by users of varying proficiency on technology as well and the handling of large genomics datasets. These limitations are addressed by utilizing the power of user-friendly platforms like Docker. This was specifically applied to two pre-processing genomics tools: MagicMatch and GeneCAST. They were organized in a cohesive and automated workflow, showcasing the creation of a straightforward pipeline capable of handling complex data and executed with a simple command.
Άννα Δ. Μπαραχάνου (Wed,) studied this question.