EXTREME specifications

Unique identifier:
OMICS_03428
Interface:
Command line interface
Output format:
PNG,EPS,MEME
Programming languages:
C, C++, Objective-C, Perl, Python
Computer skills:
Advanced
Stability:
Stable
Maintained:
Yes
Software type:
Package/Module
Restrictions to use:
None
Operating system:
Unix/Linux
License:
GNU General Public License version 2.0
Version:
2.0.0
Requirements:
Numpy, Java

versioning

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No versioning.

EXTREME support

Maintainers

  • Xiaohui Xie <>
  • Daniel Quang <>

forum

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Credits

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Publications

Institution(s)

Department of Computer Science, University of California, Irvine, CA, USA; Center for Complex Biological Systems, University of California, Irvine, CA, USA

Funding source(s)

Supported by National Institute of Biomedical Imaging and Bioengineering, National Research Service Award (EB009418) from the University of California, Irvine, Center for Complex Biological Systems.

User review

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1 user review

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1 user review

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Ka-Chun Wong's avatar image

Ka-Chun Wong

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The software is designed to be fast for motif discovery on large sequence datasets. The methodology is ingenious and well-justified from computational complexity view. I highly recommend people to try the software, although its software usability still needs improvement. Knowledge in command-line and installation is required.

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