Metadata-Version: 1.1
Name: STEME
Version: 1.8.16
Summary: STEME: an accurate efficient motif finder for large data sets.
Home-page: http://sysbio.mrc-bsu.cam.ac.uk/johns/STEME/
Author: John Reid
Author-email: johnbaronreid@netscape.net
License: BSD
Description:  STEME
        =======
        
        Accurate efficient motif finding in large data sets
        ---------------------------------------------------
        
        STEME started life as an approximation to the Expectation-Maximisation algorithm for 
        the type of model used in motif finders such as MEME. STEME’s EM approximation 
        runs an order of magnitude more quickly than the MEME implementation for typical 
        parameter settings. STEME has now developed into a fully-fledged motif finder in 
        its own right.
        
        .. _MEME: http://meme.sdsc.edu/meme/intro.html
        
        
        STEME's source code can be found at its `PyPI page`_. The latest version of STEME's documentation is 
        at its `Python package page`_. An installation of STEME is available_ to run over the web.
        
        
        .. _PyPI page: http://pypi.python.org/pypi/STEME/
        .. _available : http://sysbio.mrc-bsu.cam.ac.uk/STEME/
        .. _Python package page: http://packages.python.org/STEME/
        
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: C++
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Utilities
