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Signals Translational delivers the power translational scientists need to independently search, identify, and analyze data using sophisticated analytical techniques. It opens all the scientific data – across your organization and public sources – to enable researchers to find relationships in the data and to collaborate. Guided workflows help you complete your research faster, with better results. This leads to better organizational decisions about therapeutic products and improved patient outcomes.

PerkinElmer Translational analytics platform manages all kinds of experimental and clinical data and enables translational scientists to integrate, search, retrieve, and analyze relevant data from across internal and external sources.

Supporting collaboration and enabling scientists with direct access to all relevant data increases the speed and efficiency of drug development and helps to better match patients with effective drugs to improve human health.

Translational Analytics

Our Analytics framework takes the complexity out of translational analytics. It combines a user-friendly workflow with our bioinformatics expertise, and is powered by TIBCO Spotfire. Now, more users – not just those with expertise in statistical tools – can complete complex analytics. Ask and answer better, more probing questions. Gain insights faster, and make more informed decisions earlier in the R&D process.

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Data Integration and Search

PerkinElmer Translational Analytics solutions enable data management, aggregation, and analysis for precision medicine workflows, from data acquisition to biomarker discovery and validation

  • Data integration from private and public databases, breaking data silos
  • Self-service data queries for translational scientists
  • Complete workflow from data aggregation to results
  • Enablement for collaboration between pharma, CROs, SMEs, and academia

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Our OmicsOffice platform helps scientists to import, analyze and validate data generated from genomics studies offering workflows and tools for qPCR, microarray RNA-Seq, and ChIP-Seq experiments

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