/pycsa

python code for correlated substitution analysis

Primary LanguagePython

This is a pure python package for correlated substitution analysis.  Specifically, it can be 
used for the kinds of analyses in the following publication:

"Validation of coevolving residue algorithms via pipeline sensitivity analysis: ELSC and 
OMES and ZNMI, oh my!" PLoS One, e10779. doi:10.1371/journal.pone.0010779 (2010)

@author: Kevin S. Brown (University of Connecticut), Christopher A. Brown (Palomidez LLC)

This source code is provided under the BSD-3 license, duplicated as follows:

Copyright (c) 2014, Kevin S. Brown and Christopher A. Brown
All rights reserved.

Redistribution and use in source and binary forms, with or without modification, 
are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this 
list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice, this 
list of conditions and the following disclaimer in the documentation and/or other 
materials provided with the distribution.

3. Neither the name of the University of Connecticut nor the names of its contributors 
may be used to endorse or promote products derived from this software without specific 
prior written permission.

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