Almac Diagnostics Case Study

The Challenge

Almac Diagnostics are a personalised medicine company focussed on the discovery, development and commercialisation of diagnostic and companion diagnostic tests. They have unique expertise in working with multidimensional genomics data and utilizing a disease subtyping approach to diagnostic development. Almac’s highly complex and innovative bioinformatics pipeline incorporated multiple technologies and was labour and compute intensive with a full run of the pipeline taking 1-3 weeks, depending on the dataset complexity, with around 15 manual steps.

The Solution

Almac worked with Analytics Engines to migrate its proprietary processes and algorithms to Analytics Engine’s XDP™. The Analytics Engines platform utilized big data technologies to streamline the process using scalable storage and scalable compute to industrialise the analytics. Analytics Engines re-architected and optimized the pipeline to take advantage of the big data platform.

The Benefit

The pipeline can now be set up to run with 15 minutes of hands on time and results returned within 3-4 hours. Depending on the complexity of the dataset and analysis, this saves 20-50 hours of FTE per analysis and enables Almac to take a data driven discovery approach.  The pipelines are now run reliably, reproducibly and repeatably with a full audit trail.