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Genedata Screener 11 with Compound Combination Screening and Collaboration in the Cloud Announced at Bio-IT World 2013
Date:4/9/2013

rts information for multiple compounds per well from files or database systems
  • Fits mono-therapeutic Dose Response Curves
  • Calculates Synergy Scores using the Loewe and Highest Single Agent models
  • Visualizes combination effects in heat maps (e.g. for measured, modeled and excess activity)
  • New Applications for Single-Cell Analysis
    Genedata Screener 11 also features an enhanced Cell Population Extension for improved support of high throughput flow cytometry, cell cycle and similar experiments that define and display cell sub-populations. In a single view, researchers can define, manage, and display cell sub-populations and use cell sub-populations as input for cell-to-well data aggregation. These capabilities streamline processing of cell-based experiments and enable corporate-wide management of single-cell data, at an unprecedented scale.

    Collaboration in the Cloud
    Enabling new levels of collaborative research and screening data analysis, Genedata Screener 11 features advanced support for encrypted data transmission and authentication. Fully cloud-compliant, Genedata Screener 11 standardizes data analysis across different organizations and multiple sites. With the Genedata Screener server in the cloud, users run their clients in the local environment: while data transfer to and from the cloud is determined by the bandwidth of the network connection, Genedata Screener data processing speed and unique interactive capabilities persist.

    “Genedata Screener 11 will unleash new opportunities in lead optimization and target validation by giving pharmaceutical and biotechnology researchers a standardized platform on which they can efficiently visualize and explore compound combinations at unprecedented processing speed and with unsurpassed result quality,” said Dr. Othmar Pfannes, CEO of Genedata. “The ongoing innovation we are able to consistently deliver with each version of Genedata Scre
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