Actionable biomarkers can be the difference between a successful and unsuccessful product launch in the Pharmaceutical industry. Translational scientists often invest tremendous effort in the collection and curation of data leaving little time for analysis. The need to analyze large volumes of complex genomic and phenotypic data quickly and accurately is critical to the discovery of new and actionable biomarkers. The analyses are often very complex and require programming skills or other specialty skills to complete the work. In this webinar, PerkinElmer Informatics will outline data analytics workflows to simplify this process and expedite Translational research.