A serverless platform for metabolomics data analysis

Identifier:  TFG:5632

Handle: https://hdl.handle.net/20.500.11797/TFG5632

Authors:  Martínez Martínez, Enrique

Abstract:
Research is constantly evolving, with new technologies and processes being developed. This also results in the requirements for storage and compute resources increasing. Cloud computing can be used to analyze large datasets, lowering hardware expenses and only paying for the resources used. However, a lot of software is written with the desktop in mind and unsuitable to run as-is on the cloud. This means designing and implementing a suitable architecture, for example one based on serverless principles. Furthermore, to make the application easily accessible a frontend must be developed. This project focuses on migrating such an application.