DIRECTION specifications
- Unique identifier:
- OMICS_18379
- Software type:
- Package/Module, Toolkit/Suite
- Restrictions to use:
- None
- Computer skills:
- Advanced
- Source code URL:
- http://www.utdallas.edu/~prr105020/direction/code/direction.zip
- Name:
- Discriminative IntegRative whole Epigenome Classification at single nucleotide resoluTION
- Interface:
- Command line interface
- Operating system:
- Unix/Linux
- Stability:
- Stable
- Maintained:
- Yes
versioning
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DIRECTION support
Documentation
- Documentation: http://www.utdallas.edu/~prr105020/direction/manual.html
Maintainers
- Michael Zhang <>
- Pradipta Ray <>
- Min Chen <>
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Publications
-
(Ray, 2017)
DIRECTION: A machine learning framework for predicting and characterizing DNA methylation and hydroxymethylation in mammalian genomes.
Bioinformatics.
DOI: 10.1093/bioinformatics/btx316
Institution(s)
Department of Biological Sciences, Center for Systems Biology, The University of Texas at Dallas, Richardson, TX, USA; School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA; Department of Clinical Sciences, The University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Mathematical Sciences, The University of Texas at Dallas, Richardson, TX, USA; Center for Synthetic and Systems Biology, Tsinghua University, Beijing, China
Funding source(s)
Supported by the NIH grant U01 ES017166 to MQZ/San Diego Epigenome Institute, and NIH grant K25AR063761.
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