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Bioinformatics Advance Access published online on June 9, 2006
Bioinformatics, 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
Received April 11, 2006
Revised May 26, 2006
Accepted May 31, 2006

Applications note

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

J.-L. Li 1 *, M.-X. Li 2, Y.-F. Guo 3, H.-Y. Deng 4, and H.-W. Deng 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, P. R. China 410081; Shanghai Center for Bioinformation Technology, Shanghai 200235, P.R. China
3 Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, P. R. China 410081
4 Department of Orthopedic Surgery, School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA; Department of Basic Medical Sciences, School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA
5 Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, P. R. China 410081; Department of Orthopedic Surgery, School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA; Department of Basic Medical Sciences, School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA; Osteoporosis Research Center, Creighton University Medical Center, Omaha, NE 68131, USA

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


  Abstract

Summary: The characterization of deleterious genomic mutation (DGM) is of central significance for evolutionary biology and genetics 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.

Associate Editor: Martin Bishop
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