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An efficient method based on binomial modeling of paired bisulfite and oxidative bisulfite data from sequencing or array analysis. Evaluation in several datasets showed that oxBS-MLE outperformed alternative methods in estimate accuracy and computation speed.

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oxBS-MLE classification

oxBS-MLE specifications

Unique identifier:
OMICS_12735
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Requirements:
minfi, parallel, doParallel, Biobase, foreach
Name:
oxidative bisulfite Maximum Likelihood Estimate
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
Artistic License version 2.0
Stability:
Stable
Maintained:
Yes

Subtools

  • ENmix

oxBS-MLE distribution

versioning

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No versioning.

oxBS-MLE support

Documentation

Maintainer

  • Liang Niu <>

Credits

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Publications

Institution(s)

Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA; Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA; Department of Environmental Health, College of Medicine, University of Cincinnati, Cincinnati, OH, USA

Funding source(s)

This research was supported by the Center for Environmental Genetics grant (NIEHS award P30ES00606), NIEHS grant ES022071, and Intramural Research Program of the NIH (NIEHS Z01 ES049033, and Z01 ES049032).

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