BioAssay Enterprise
BioAssay Enterprise provides flexible storage, retrieval and analysis of biological data. Designed for complex lead optimization experiments, the software supports the quick set-up of biological models.
For modeling complicated in vivo experiments, or
supporting an ultra-HTS platform, BioAssay has become the
leading choice for managing biological experimental data. It
is the only application of its kind to provide a best-of-breed
solution for both ultra-high volume laboratories and lowerthroughput
settings. BioAssay includes support for
laboratory automation, calculation, and statistics, and also
complicated low and medium throughput assays such as
animal models and in vivo experiments.
BioAssay is designed to tackle the needs of high and low
throughput screening biologists alike by providing an
application flexible enough to model any assay, regardless of
complexity, through an easy-to-use interface for importing,
storing and analyzing the data. The software supports the
quick set-up of biological models, automated calculations
and curve fitting, data validation, and the creation of
customized structure activity reports.
BioAssay Extends E-Notebook
BioAssay Enterprise is a scalable, flexible biological screening solution utilizing Oracle’s role based security and the Oracle Cartridge. When used as part of ChemOffice Enterprise,
BioAssay is integrated with E-Notebook for experimental data,
Inventory Enterprise for plate tracking and management,
Registration Enterprise for the registration of new compounds
and BioSAR Enterprise for customized reporting.
Solution Offerings:
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BioAssay Enterprise 10.0
BioAssay has been designed to provide a powerful, easy-to-use method to upload assay data from multiple sources to a central, secure location. Once the data has been captured, users can perform various calculations on it, using the program’s built-in calculation and curve-fitting abilities, or using 3rd party tools. After a group is satisfied with the validity of their data, it can be “validated” and published to the larger world using BioSAR Enterprise.
