Purification processes are difficult – don‘t let your data add complexity
Downstream purification, used to specify the function, structure and interactions of an entity of interest is not a simple task. The purification of proteins and other complex molecules, such as recombinant viruses, is a key element in bioprocessing and includes monitoring every step of the purification scheme for purification levels and yield.
This complex process includes data from different sources that include chromatography data systems (CDS). When data workflows are manual, data transfer is cumbersome and tasks like annotating peak information lowers scientific productivity. The use of proprietary data formats also hampers comparing data from runs across projects and instances and deriving meaningful insights.
Built for science
The Tetra Scientific Data Cloud™ automatically collects, centralizes, and democratizes all Fast Protein Liquid Chromatography (FPLC) data. It engineers the data into a standard, reusable format, and automatically transfers data to downstream visualization and informatics tools. Scientists, Scientific Data Engineers, and Data Scientists can access and interact with the data in applications of their choice, saving time and effort interacting with their data.
Converted into engineered Tetra Data, teams have the ability to develop optimization-based, data-driven models for optimal purification strategies in the manufacturing process of biomolecules.
Data can be used to troubleshoot and optimize processes locally as well as to support enterprise-wide coordination and optimization to scale production. Downstream bioprocessing will generate more high-quality protein products in less time than a traditional purification workflow.
