Bioprocess Informatics with Oxford Biomedica

We’re starting to deal with very big datasets, and some vendor software can be cumbersome and slow. The Synthace platform alleviates this problem by integrating offline data in a very user-friendly, comprehensive, and dynamic way. Andre Raposo Group Lead - Computer-Aided Biology (CAB) group at Oxford Biomedica

Accelerating lentiviral vector process development with Synthace

Oxford Biomedica started working with Synthace in 2017 when it recognized the need for a scalable, flexible, and robust software tool for automating highly complex experiments. Oxford Biomedica chose Synthace because it provides rapid and flexible design and in silico simulation of laboratory automation protocols through to physical execution of those protocols in a hardware-agnostic manner.

Key findings

Oxford Biomedica identified four key benefits of using Synthace for bioprocess data handling: volume, speed, integrity, adaptability

94%

Reduction in resource demand

For a typical vector bioprocess development run

36

Minutes from raw data to insight

Synthace enables scalable, automated processing of high-density datasets

Multi-sample set is based on three sample plates generated by the process. Synthace enables scalable, automated processing of high-density datasets: as analyses become more and more complex, the processing time increases with a near-linear trend when a traditional manual approach is undertaken, whereas with Synthace the time difference is minimal. Therefore, the more analyses undertaken by Synthace, the greater the resource savings. For a typical vector bioprocess development run, time from raw data to insight is reduced from 10.75 to 0.6 hours, resulting in a ~94% reduction in resource demand.

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