WekaIO vice president of marketing, Barbara Murphy, outlined key considerations for managing genomic data at scale while ensuring fastest time to discovery outcomes. She discussed how next generation shared, parallel file system technologies, like the Weka File System (WekaFS) are replacing legacy storage environments for organisations with demanding workloads such as artificial intelligence (AI) at scale.
Barbara Murphy was joined by David Ardley from Genomics England who shared real world implementation considerations when building a data centre to support IO-intensive genomic workloads for Britain's 5 Million Genome Project. His talk outlined key considerations for managing critical national genomic data sets at scale while ensuring fastest time to discovery outcomes. He walked through a case study at Genomics England to demonstrate the challenges they faced and outcome achieved with a modern data storage and management approach from WekaIO.
WekaFS is a shared, parallel file system that delivers the highest bandwidth and scalability to compute intensive applications in the life sciences and research space. Genomics England is owned by the Department of Health and Social Care to run the 5 Million Genomes Project, which aims to sequence 5 million genomes from NHS patients with a rare disease.
In partnership with WekaIO, Nephos Technologies, a WekaIO Innovation Network (WIN) Leader Partner specializing in genomics solutions, was present at BioData World Congress too.