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Bioinformatics Advance Access published online on June 28, 2005
Bioinformatics, doi:10.1093/bioinformatics/bti557
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© The Author (2005). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oupjournals.org
Received May 19, 2005
Revised June 22, 2005
Accepted June 27, 2005

Applications note

PhD: a web database application for phenotype data management

J.-L. Li 1*, M.-X. Li 2, H.-Y. Deng 3, P. E. Duffy 4, and H.-W. Deng 5

1 Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China; Seattle Biomedical Research Institute, 307 Westlake Avenue N, Suite 500, Seattle, WA 98109-5219, USA
2 Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China
3 Osteoporosis Research Center, Creighton University Medical Center, Omaha, NE 68131, USA
4 Seattle Biomedical Research Institute, 307 Westlake Avenue N, Suite 500, Seattle, WA 98109-5219, USA
5 Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China; Osteoporosis Research Center, Creighton University Medical Center, Omaha, NE 68131, USA; The Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R.China

* To whom correspondence should be addressed.
J.-L. Li, E-mail: Jinlong.li{at}sbri.org


  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 (DEFs); therefore it is suitable for different and multi-center projects.

Availability: http://apps.sbri.org/gpdb (Beta version).

Supplementary information: http://apps.sbri.org/gpdb/supp.htm.


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