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README

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README : CAPE
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CAPE provides a computational method to quantify the probability of genetic variants
disrupting major transcription factors binding in a given cellular context. We
established a support vector machine by utilizing both sequence information and
transcription factor expression information. This computational approach outperforms
current existing methods even when only incorporating sequence information.

I.   Learn More

II.  License: Public Domain notice

III. Acknowledgements

IV.  Contact

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I. Learn More:
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Installation steps, tutorial, API documentation, etc. are all now available
through the CAPE web server:

http://cape.dcode.org/sourcecode/

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II. License : Public Domain notice
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National Center for Biotechnology Information.

This software is a "United States Government Work" under the terms of the United States
Copyright Act. It was written as part of the authors' official duties as United States
Government employees and thus cannot be copyrighted. This software is freely available
to the public for use. The National Library of Medicine and the U.S. Government have not
 placed any restriction on its use or reproduction.

Although all reasonable efforts have been taken to ensure the accuracy and reliability
of the software and data, the NLM and the U.S. Government do not and cannot warrant the
performance or results that may be obtained by using this software or data. The NLM and
the U.S. Government disclaim all warranties, express or implied, including warranties
of performance, merchantability or fitness for any particular purpose.

Please cite NCBI in any work or product based on this material.

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III. Acknowledgements :
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IV. Contact :
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Ivan Ovcharenko, PhD.

Senior Investigator
Computational Biology Branch
National Center for Biotechnology Information (NCBI)
National Library of Medicine (NLM)
National Institutes of Health (NIH)
Building 38A, Room 6S602
8600 Rockville Pike
Bethesda, MD 20894
Email: ovcharen _at_ nih _dot_ gov
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