PhD: a web database application for phenotype data management

  • Authors:

  • J.-L. Li;M.-X. Li;H.-Y. Deng;P. E. Duffy;H.-W. Deng

  • Affiliations:

  • Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University Changsha, Hunan 410081, People's Republic of China;Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University Changsha, Hunan 410081, People's Republic of China;Osteoporosis Research Center, Creighton University Medical Center Omaha, NE 68131, USA;Seattle Biomedical Research Institute 307 Westlake Avenue N, Suite 500, Seattle, WA 98109-5219, USA;Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University Changsha, Hunan 410081, People's Republic of China

  • Venue:
  • Bioinformatics
  • Year:
  • 2005

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Abstract

Summary: A database application has been developed for phenotype data management employing the Entity-Attribute-Value (EAV) model. By applying the EAV model, this application allows users to manage arbitrary phenotypes and customize data entry forms; therefore, it is suitable for different and multi-center projects. Availability:http://apps.sbri.org/gpdb (Beta version). Contacts: Jinlong.Li@sbri.org Supplementary information: http://apps.sbri.org/gpdb/supp.htm