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1 <tool id="openms_feature_linker_unlabeled_qt" version="0.1.0" name="Feature Linker (Unlabeled QT)">
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2 <description>
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3 Groups corresponding features from multiple maps using a QT clustering approach.
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4 </description>
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5 <macros>
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6 <import>macros.xml</import>
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7 </macros>
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8 <expand macro="stdio" />
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9 <expand macro="requires" />
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10 <command interpreter="python">
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11 openms_wrapper.py --executable 'FeatureLinkerUnlabeledQT' --config $config
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12 </command>
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13 <configfiles>
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14 <configfile name="config">[simple_options]
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15 in=${",".join(map(str, $inputs))}
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16 out=$output
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17 #if $type.input_type == "consensusxml"
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18 $keep_subelements
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19 #end if
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20 $ignore_charge
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21 $use_identifications
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22 algorithm!distance_RT!max_difference=$rt_max_difference
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23 algorithm!distance_MZ!max_difference=$mz_max_difference
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24 algorithm!distance_MZ!unit=$mz_max_difference_unit
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25 #if $advanced.specify
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26 algorithm!distance_RT!weight=$advanced.rt_weight
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27 algorithm!distance_MZ!weight=$advanced.mz_weight
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28 algorithm!distance_intensity!weight=$advanced.intensity_weight
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29 algorithm!distance_RT!exponent=$advanced.rt_exponent
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30 algorithm!distance_MZ!exponent=$advanced.mz_exponent
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31 algorithm!distance_intensity!exponent=$advanced.intensity_exponent
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32 #end if
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33 </configfile>
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34 </configfiles>
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35 <inputs>
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36 <expand macro="feature_linker_input" />
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37
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38 <expand macro="feature_linker_algorithm_options" />
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39 </inputs>
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40 <outputs>
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41 <data format="consensusxml" name="output" />
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42 </outputs>
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43 <help>
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44 **What it does**
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45
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46 This tool provides an algorithm for grouping corresponding features in multiple runs of label-free experiments. For more details and algorithm-specific parameters (set in the INI file) see "Detailed Description" in the algorithm documentation or the INI file table below.
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47
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48 FeatureLinkerUnlabeled takes several feature maps (featureXML files) and stores the corresponding features in a consensus map (consensusXML file). Feature maps can be created from MS experiments (peak data) using one of the FeatureFinder TOPP tools.
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49
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50 Advanced users can convert the consensusXML generated by this tool to EDTA using FileConverter and plot the distribution of distances in RT (or m/z) between different input files (can be done in Excel). The distribution should be Gaussian-like with very few points beyond the tails. Points far away from the Gaussian indicate a too wide tolerance. A Gaussian with its left/right tail trimmed indicates a too narrow tolerance.
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51
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52 **Citation**
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53
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54 For the underlying tool, please cite ``Weisser et al.: An automated pipeline for high-throughput label-free quantitative proteomics (J. Proteome Res., 2013, PMID: 23391308).``
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55
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56 If you use this tool in Galaxy, please cite Chilton J, et al. https://bitbucket.org/galaxyp/galaxyp-toolshed-openms
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57 </help>
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58 </tool>
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