Data Integration & Management
Modern biology generates huge quantities of complex data.
Data is being generated at a rapidly accelerating rate within the life-sciences industry. The most well documented example of this being the explosion of data within genomics; where fuelled by advances in sequencing hardware, it is projected that up to 40 exabytes of sequencing data will be generated yearly by 2025. However, genomic sequencing represents only one aspect of modern biology. What of all the data that is being, or could be, captured in other areas of biological research and development?
Faced with an abundance of data streams, even the experienced laboratory scientist often faces challenges in handling large, complex data-sets across multiple disparate software packages:
Manual manipulation and transfer of complex data sets, from machines into generalist analysis packages such as Excel.
No or poor data provenance (the traceable history of the data).
Vendor software packages which are overly complex and focused on a specific niche – making data integration across instruments challenging, as well as introducing a technical hurdle for laboratory scientists burdened with the tedium of having their workflow disrupted by a spectrum of different isolated software packages.
A new way of doing Biology
To address these problems, Synthace developed an operating system for biology, built by scientists for scientists, that provides end-to-end data integration and automation across the whole spectrum of the life-sciences industry. Antha works across multiple hardware platforms, running the design, execution and analysis of the experiment.
The data can then be rapidly presented to powerful visualisation and analysis tools from the platform such that new insights can be quickly obtained. This raw, flexible, power is leveraged by an easy to use user interface, allowing even the infrequent user to rapidly become an expert.