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

Model based Analysis of ChIP-exo MACE

A bioinformatics tool dedicated to analyze ChIP-exo data: 1) Sequencing depth normalization and nucleotide composition bias correction. 2) Signal consolidation and noise reduction. 3) Single base resolution border detection. 4) Border matching.

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.

MACE 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.

MACE classification

MACE specifications

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

MACE 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.

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)

Division of Biomedical Statistics and Informatics, Mayo Clinic, Chinahester, MN, USA; Division of Biostatistics, Dan L Duncan Cancer Center and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA; School of Life Science and Technology, Tongji University, Shanghai, China; Division of Biomedical Statistics and Informatics, Mayo Clinic, Chinahester, MN, USA; Genetics and Genome Biology Program, SickKids Research Institute, Toronto, ON, Canada; Division of Biostatistics, Dan L Duncan Cancer Center and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA; Department of Biochemistry and Molecular Biology, Mayo Clinic, MN, USA; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada; Division of Biomedical Statistics and Informatics, Mayo Clinic, Chinahester, MN, USA; Division of Biostatistics, Dan L Duncan Cancer Center and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA

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