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

MetMap

Infers methylation at individual CGs by modelling biases inherent in MethylSeq experiments. MetaMap is a statistical method that first accounts for the biases in MethylSeq data and then generates an analysis of the data that is suitable for use in comparative studies. An additional important feature of the software is the annotation of strongly unmethylated islands (SUMIs) which, as opposed to the current definition of CpG islands, incorporate information from both a reference sequence and genome-scale methylation data.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

0 user reviews

No review has been posted.

MetMap forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

MetMap classification

MetMap specifications

Software type:
Package/Module
Restrictions to use:
None
Computer skills:
Advanced
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux
Stability:
Stable

MetMap distribution

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.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

MetMap support

Maintainer

This tool is not available anymore.

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship

Publications

Institution(s)

Computer Science Division, University of California at Berkeley, Berkeley, CA, USA; Children’s Hospital Oakland Research Institute, Oakland, CA, USA; Department of Mathematics, University of California at Berkeley, Berkeley, CA, USA; Department of Molecular and Cell Biology, University of California at Berkeley, Berkeley, CA, USA; Illumina, Hayward, CA, USA

Funding source(s)

Supported by the NIH grants HL084474, ES016581 and CA115768.

Link to literature

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