Mercurial > repos > grau > dimont_motif_discovery

comparison DimontPredictorWeb.xml @ 1:eb36f7f72fb1 draft

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author grau
date Wed, 20 Nov 2013 04:33:20 -0500
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0:b7d6db3ba6bc 1:eb36f7f72fb1
96 The Dimont tool uses a p-value threshold of ``1E-3``, which is also the default value of DimontPredictor. 96 The Dimont tool uses a p-value threshold of ``1E-3``, which is also the default value of DimontPredictor.
97 97
98 You can also install this web-application within your local Galaxy server. Instructions can be found at the Dimont_ page of Jstacs. 98 You can also install this web-application within your local Galaxy server. Instructions can be found at the Dimont_ page of Jstacs.
99 There you can also download a command line version of DimontPredictor. 99 There you can also download a command line version of DimontPredictor.
100 100
101 If you use Dimont, please cite
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103 \J. Grau, S. Posch, I. Grosse, and J. Keilwagen. A general approach for discriminative de-novo motif discovery from high-throughput data. *Nucleic Acids Research*, 41(21):e197, 2013.
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101 If you experience problems using DimontPredictor, please contact_ us. 105 If you experience problems using DimontPredictor, please contact_ us.
102 106
103 .. _example: http://www.jstacs.de/downloads/dimont-example.fa 107 .. _example: http://www.jstacs.de/downloads/dimont-example.fa
104 .. _Dimont: http://jstacs.de/index.php/Dimont 108 .. _Dimont: http://jstacs.de/index.php/Dimont
105 .. _contact: mailto:grau@informatik.uni-halle.de 109 .. _contact: mailto:grau@informatik.uni-halle.de