Bioinformatics To CLIMB Higher With AI

Bioinformatics research that targets infectious diseases is more important now than ever. However, the systems required to identify and analyze the nature, treatments, and transmission patterns of epidemics, or even pandemics, is incredibly complex. While AI might bring some new tools to bear that have their own learning curve on the IT side, the promise of integrating GPU-accelerated deep learning into several scientific workloads will make the new addition worth the effort. One project, among many worldwide, that is seeing the value of AI in future bioinformatics for public health is the Cloud Infrastructure for Microbial Bioinformatics (CLIMB) project, which is one of the world's largest collaborations of its kind. The program's goal is to provide leading infrastructure for the microbial bioinformatics community in the United Kingdom, which includes distributed computing resources, a large pool of shared storage, enhanced system and workflow management tooling, and many analytics applications ranging from sequence analysis to population trend studies.