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Exploiting the Life Science Data Explosion to Speed New Drug Discovery

s without the need to normalize the structure. Using the discoveryHub tools, simplified and integrated views can be created which present information in the form most relevant for a particular application. Further, discoveryHub provides access to any external algorithm or application as part of the integrated view. The discoveryHub platform provides compatible access and export capability to the most popular object and relational database management systems on the market.

Because you are not forced to “coerce” or flatten data into a particular form in order to use it, you need not “convert and store”, but can instead access sources “live”. discoveryHub thus circumvents issues of data currency when accessing dynamic sources. Yet, because it is inherently agnostic about physical representations, existing “legacy” silos remain accessible as “yet another data source” to discoveryHub.

So, in real-world settings, discoveryHub offers a platform and tool set that can be used for direct access and integration, is embeddable into life science applications, and provides an essential element to building a scalable life sciences data management infrastructure. discoveryHub accomplishes this through a series of simple yet powerful APIs that provide easy access to core engine, freeing the software developer to focus on the scientific application, not data integration. Products built using the discoveryHub APIs inherit independence of the underlying representation and access infrastructure. Thus, the discoveryHub is well suited for integration into an existing infrastructure such as an application framework. Included are application services components that make discoveryHub available via standard web services interfaces such as SOAP, EJB, servlet instantiation, etc.

Why is this important to Biotechnology Companies?
The life sciences are exp
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