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Bioinformatics Advance Access originally published online on June 9, 2006
Bioinformatics 2006 22(15):1926-1927; doi:10.1093/bioinformatics/btl278
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© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

JADE: a distributed Java application for deleterious genomic mutation (DGM) estimation

J.-L. Li 1, M.-X. Li 2,3, Y.-F. Guo 2, H.-Y. Deng 4 and H.-W. Deng 2,4,5,*

1 Seattle Biomedical Research Institute, Seattle WA 98109, USA
2 Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University Changsha 410081, People's Republic of China
3 Shanghai Center for Bioinformation Technology, Shanghai 200235 People's Republic of China
4 Departments of Orthopedic Surgery and Basic Medical Sciences, School of Medicine, University of Missouri-Kansas City Kansas City, MO 64108, USA
5 Osteoporosis Research Center, Creighton University Medical Center Omaha, NE 68131, USA

*To whom correspondence should be addressed.

Summary: The characterization of deleterious genomic mutation (DGM) is of central significance for evolutionary biology and genetic studies. Fitness moment method has been developed to efficiently characterize DGM from natural population directly. In order to enable researchers to employ this method for theoretical and empirical research on characterizing DGM, we here present a distributed Java Application for DGM Estimation (JADE).

Availability: http://orclinux.creighton.edu/DGM/index.htm

Contact: Jinlong.Li{at}sbri.org

Received on April 11, 2006; revised on May 26, 2006; accepted on May 31, 2006

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