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1 <tool id="kinamine_java" name="Negative-Motif-Finder 7_to_7" version="1.0.0">
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2 <description>discover unphosphorylated substrates</description>
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3 <requirements>
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4 <requirement type="package">R</requirement>
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5 </requirements>
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6 <command><![CDATA[
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7 ln -s '$FASTA' input1.tabular &&
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8 ln -s '$positives' input2.csv &&
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9 ln -s '$SBF' input3.csv &&
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10 Rscript '$__tool_directory__/NMF.R'
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11 ]]></command>
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12 <inputs>
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13 <param format="csv" name="SBF" type="data" label="Substrate Background Frequency"/>
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14 <param format="tabular" name="FASTA" type="data" label="Human Proteome Reference"/>
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15 <param format="csv" name="positives" type="data" label="Positive/Phosphorylated Substrate List"/>
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16 </inputs>
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17 <outputs>
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18 <data format="csv" name="Negatives" from_work_dir="output1.csv" label="Negative Motifs.csv"/>
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19 </outputs>
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20 <tests>
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21 <test>
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22 <param name="FASTA" ftype="csv" value="reference.csv"/>
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23 <param name="positives" ftype="csv" value="substrates.csv"/>
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24 <param name="SBF" ftype="csv" value="SBF.csv"/>
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25 <output name="Negatives" file="negatives.csv"/>
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26 </test>
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27 </tests>
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28 <help><![CDATA[
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29 Using the output from KinaMine, plus the Uniprot file that was used with KinaMine, this program finds all Y-centered motifs which *could* have been present as positive motifs but were not seen by the Mass Spec
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30 This tool is intended to be used in conjunction with KinaMine 7-7 and Kinatest.R, the three together creating a GalaxyP version of the KINATEST-ID workbook.
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31 ===========
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32 Inputs
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33 ===========
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34 **Substrate Background Frequency**
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35 **Positive/Phosphorylated Substrate List**
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36 These two come directly from the KinaMine output
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37
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38 **Human Proteome Reference**
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39 This should be a tabularized version of a FASTA taken from the Reviewed Human Uniprot database, consisting of all human proteins plus a list of common Mass Spectrometry contaminants.
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40 This file should be created by using the same FASTA file used for KinaMine and running FASTA to Tabular on it using GalaxyP
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41
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42 ]]></help>
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43 <citations>
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44 <citation type="doi">10.1021/ja507164a</citation>
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45 </citations>
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46 </tool>
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47
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