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NewswireToday - /newswire/ -
Basel, Switzerland, 09/26/2007 - Genedata, a leading provider of drug discovery informatics, today announced the release of Genedata Screener Version 5.0, an enterprise solution for screen-to-lead research data analysis and management.
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Screener 5.0 combines enterprise assay data management with high-performance processing workflows and flexible analysis tools. In addition, it provides access to a wide range of information from other reseach and drug discovery systems.
From low to ultra-high throughput screens, from single-point assays to complex high content screens – Screener rapidly analyzes, integrates, and manages all assay data, independent of instrumentation, technology, volume or location. Screening data is combined with chemical, pharmacological and in vivo data to generate exactly the information scientists need to prioritize compounds and identify quality lead structures with the highest confidence.
Screener's open and scalable architecture integrates with the existing corporate infrastructure as well as third party solutions and provides access to information from other corporate sources. Screener can be tailored to specific discovery processes, making it an integral as well as flexible element maximizing it`s value.
"Drug discovery processes are increasingly owned by interdisciplinary project teams. Compound screening using a portfolio of new technologies has become a strong support function for these teams, and screening data is regarded as an asset to be reused across the organization, for multiple projects. This demands comprehensive data management, stringent quality control, and the integration of information,” explains Dr. Stephan Heyse, Business Head of Genedata Screener.
“Screener 5.0 enables drug researchers to focus on their primary objectives: to quickly evaluate entire campaigns, to compile and share relevant information for their specific projects, and to confidently identify high quality lead structures. No other solution on the market provides such comprehensive data analysis and management features at such a high level of performance.”
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