tutorial arrow
×
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

oxidative bisulfite Maximum Likelihood Estimate oxBS-MLE

Online

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.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible

0 user reviews

0 user reviews

No review has been posted.

oxBS-MLE forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.

No open topic.

oxBS-MLE versioning

tutorial arrow
×
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.

No versioning.

oxBS-MLE classification

oxBS-MLE specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Requirements:
minfi, parallel, doParallel, Biobase, foreach
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 support

Documentation

Maintainer

  • Liang Niu <>

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.

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).

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.