Biocomputing

The Biocomputing Hub is a cutting-edge research facility specialising in high-performance computing (HPC), cloud technologies, and big-data analysis. We provide innovative resources for researchers at the School of Biosciences and their collaborators, helping to drive computational and data-driven research in biological sciences.

We offer advanced, secure, and reliable digital infrastructure for both research and teaching, complemented by bespoke training, expert support, and a collaborative environment. Our goal is to provide researchers with the tools to develop and apply computational and data science methods to their research.

By combining HPC, machine learning, cloud computing, and scalable storage resources, we support a wide range of research projects, including genomics, neuroscience, bioinformatics, modeling, systems biology, and computational biology.

Our infrastructure is designed for large-scale data analysis, high-throughput computing, and machine learning, integrating HPC with cloud services and big-data storage solutions. For teaching, our platform can support hundreds of final-year and Master's students, offering a variety of resources, from command-line Linux environments to R, Python, graphical Linux interfaces, and HPC.

At the Biocomputing Hub, we rely on free and open-source software while combining state-of-the-art technologies, such as Slurm HPC clusters, GPUs, Kubernetes, S3 storage, high-performance storage, and data-archiving systems. All our services are designed to meet the evolving needs of users, with a focus on the latest advancements in HPC and cloud computing.

Contact us

Access to the Biocomputing Hub is freely available to all researchers within the School of Biosciences. To get started, simply contact Dr. Ian Merrick with your requirements, and we'll get you online quickly.