Tip of the Week: Phenotypic Data from the PhysioNet

PhysioNet TipOne of the things I’ve been thinking about lately are connections between genotype and phenotype – it is a topic in the news & I have been working on tutorials for the genotype-to-phenotype resources PhenomicDB & NCI’s dbGaP. Recently a friend notified of an article in Science featuring the PhysioNet – a resource intended to stimulate current research and new investigations in the study of complex biomedical and physiologic signals. The article was interesting & so I checked out this nice resource. In this short video I introduce you to a few of the features and data types available from the PhysioNet. You can read more about the PhysioNet, or see their mission statment by following the ‘continue reading’ link.

PhysioNet NetworkPhysioNet’s Mission

We seek to promote, catalyze and initiate basic-to-bedside research in the study of complex physiologic data by:

  • Making well-characterized physiologic data freely available in web archives
  • Providing well-tested and documented free and open source software for the analysis of physiologic data
  • Creating a multidisciplinary forum to facilitate the discovery of “hidden information” in complex physiologic data

PhysioNet’s Aims

  • Facilitating ongoing basic and clinical studies
  • Stimulating new investigations on dynamics in health/disease
  • Providing larger, more comprehensive databases than any single center can collect
  • Providing permanently accessible repositories for data from large studies and publications (“dynamical appendices”)
  • Protecting the integrity and reliability of raw data and analyses
  • Fostering technology transfer
  • Developing tests for life-threatening diseases:
    Example: Diagnosing Obstructive Sleep Apnea from a single lead electrocardiogram (PhysioNet/Computers in Cardiology Challenge 2000)

PhysioNet’s Audience

PhysioNet is a resource intended for a broad audience, including basic scientists, mathematicians, engineers, clinicians, and students working in biomedical sciences and related technologies. PhysioNet is intended to foster interaction among investigators from many different disciplines (“laboratories without walls”).