annotate fathmm/README.rst @ 0:fd66648ce5f9 draft default tip

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author saket-choudhary
date Tue, 07 Oct 2014 19:25:07 -0400
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1 Galaxy wrapper for the FATHMM webservice
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2 ===================================================
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3
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4 This tool is copyright 2014 by Saket Choudhary<saketkc@gmail.com>, Indian Institute of Technology Bombay
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5 All rights reserved. MIT licensed.
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6
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7 Licence (MIT)
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8 =============
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9
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10 Permission is hereby granted, free of charge, to any person obtaining a copy
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11 of this software and associated documentation files (the "Software"), to deal
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12 in the Software without restriction, including without limitation the rights
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13 to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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14 copies of the Software, and to permit persons to whom the Software is
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15 furnished to do so, subject to the following conditions:
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16
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17 The above copyright notice and this permission notice shall be included in
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18 all copies or substantial portions of the Software.
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19
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20 THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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21 IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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22 FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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23 AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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24 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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25 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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26 THE SOFTWARE.
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27
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28 Citations
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29 ===========
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30
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31
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32 If you use this tool in Galaxy, please cite :
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33
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34 Shihab HA, Gough J, Cooper DN, Stenson PD, Barker GLA, Edwards KJ, Day INM, Gaunt, TR. (2013).
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35 Predicting the Functional, Molecular and PhenotypicConsequences of Amino Acid Substitutions using
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36 Hidden Markov Models. Hum. Mutat., 34:57-65
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39 Shihab HA, Gough J, Cooper DN, Day INM, Gaunt, TR. (2013). Predicting the Functional Consequences
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40 of Cancer-Associated Amino Acid Substitutions. Bioinformatics 29:1504-1510.
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42
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43 Shihab HA, Gough J, Mort M, Cooper DN, Day INM, Gaunt, TR. (2014).
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44 Ranking Non-Synonymous Single Nucleotide Polymorphisms based on Disease Concepts. In Press