The Biocomputing hub focuses on the processing and storage of information generated by data-intensive research within the School of Biosciences.
The main purpose of the hub is to develop and provide research-led tools and resources for the analysis of biological data. Taking an integrated approach that combines data storage, training, infrastructure, and advice, the Biocomputing Hub offers a one-stop-shop for researchers with computational needs.
Facilities and services
The hub provides a self-service environment within a High Throughput Computing cluster (YSGO). We also offer preconfigured personal Virtual Machines (SKRINKLE) which are powered via a cluster comprising hundreds of Central Processing Units, Terabytes of RAM, and 100+ Terabytes of storage.
Training on the interface is available, and pre-prepared modules in common bioinformatic and statistical packages make it simple for users to get started with their analysis.
Access is freely available to all Bioscience researchers and you can get rapidly online after contacting Dr. Ian Merrick with your requirements or reading our platform quickstart guide.
For more information on our Biocomputing services, please contact: