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DISCRiminative and discOVER Discrover

Discovers sequence motifs of protein binding-site patterns in nucleic acid sequences. Discrover is based on a discriminative learning method and on a Hidden Markov Model (HMM). It allows user to train all parameters by one objective function, or only the motif emissions and leave other parameters unmodified. The analyses conducted by the tool of ChIPSeq data appear to be stringent and robust, as indicated by the similarity of multiply discovered motifs or the high proportion of motifs recovered.

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Discrover classification

Discrover specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
C++
Computer skills:
Advanced
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux
License:
GNU General Public License version 3.0
Stability:
Stable

Discrover distribution

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Discrover support

Documentation

Maintainer

  • Jonas Maaskola <>

Additional information

Doc: https://github.com/maaskola/discrover/tree/master/doc

Credits

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Publications

Institution(s)

Laboratory for Systems Biology of Gene Regulatory Elements, Max-Delbruck-Center for Molecular Medicine, Berlin-Buch, Germany

Link to literature

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