annotate frag4feature.xml @ 0:15aa034cc08d draft

planemo upload for repository https://github.com/computational-metabolomics/mspurity-galaxy commit f9591483bef88aef71a9f0cc0ffc75cf6eab480c
author tomnl
date Mon, 05 Mar 2018 09:58:58 -0500
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15aa034cc08d planemo upload for repository https://github.com/computational-metabolomics/mspurity-galaxy commit f9591483bef88aef71a9f0cc0ffc75cf6eab480c
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1 <tool id="frag4feature" name="frag4feature" version="0.0.12">
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2 <macros>
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3 <import>macros.xml</import>
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4 </macros>
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6 <expand macro="requirements">
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7 <!-- would ideally have xcms 3.0.0 but not available in bioconda at the point of tool creation-->
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8 <requirement type="package" version="1.46.0" >bioconductor-xcms</requirement>
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9 </expand>
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10
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11 <description>
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12 Assign fragmentation spectra to XCMS features using msPurity
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13 </description>
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14 <stdio>
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15 <exit_code range="1:" />
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16 </stdio>
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17 <command interpreter="Rscript"><![CDATA[
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18 frag4feature.R
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19 --out_dir=.
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20 --xset=$xset
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21 --pa=$pa
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22 --cores=\${GALAXY_SLOTS:-4}
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23 #if $file_load_conditional.file_load_select=="yes"
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24 --mzML_files='
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25 #for $i in $file_load_conditional.input
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26 $i,
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27 #end for
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28 '
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29 --galaxy_names='
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30 #for $i in $file_load_conditional.input
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31 $i.name,
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32 #end for
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33 '
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34 #end if
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35 --ppm=$ppm_f4f
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36 --plim=$plim_f4f
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37 #if $mostIntense_f4f
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38 --mostIntense
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39 #end if
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40 #if $convert2RawRT_f4f
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41 --convert2RawRT
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42 #end if
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43 #if $grp_peaklist_opt.grp_peaklist_opt=="yes"
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44 --grp_peaklist=$grp_peaklist
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45 #end if
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46
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47 ]]></command>
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48 <inputs>
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49
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50 <param type="data" name="xset" label="xcmsSet object"
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51 help="xcmsSet object saved as 'xset' in an RData file" format="rdata"/>
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52 <param type="data" name="pa" label="purityA object" format="rdata"
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53 help="purityA object saved as 'pa' in a RData file (output from assess_purity_msms)"/>
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54
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55 <param name="mostIntense_f4f" type="boolean" checked="true" label="For matching fragmentation to a feature,
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56 use most intense peak within isolation window for precursor?"/>
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57
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58 <param name="convert2RawRT_f4f" type="boolean" checked="false" label="Was retention time correction used?"
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59 help="If retention time correction has been used in XCMS set this to yes"/>
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60
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61 <param name="ppm_f4f" type="float" label="ppm" value="10"
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62 help="ppm tolerance between precursor mz and feature mz"/>
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63
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64 <param name="plim_f4f" type="float" label="plim" value="0" max="1" min="0"
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65 help="min purity of precursor to be included"/>
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66
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67 <conditional name="grp_peaklist_opt">
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68 <param name="grp_peaklist_opt" type="select" label="Add a different grouped peaklist to database?">
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69 <option value="yes" >Provide group peaklist </option>
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70 <option value="no" selected="true">Use default grouped peaklist</option>
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71 </param>
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72 <when value="no">
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73 </when>
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74 <when value="yes">
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75 <param type="data" name="grp_peaklist" label="grouped peaklist"
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76 help="User supplied grouped peaklist to add to the database (if additional columns required e.g.
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77 CAMERA annotations" format="tsv,tabular"/>
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78 </when>
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79 </conditional>
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80
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81 <expand macro="fileload" />
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82
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83 </inputs>
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84 <outputs>
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85 <data name="frag4feature_grouped_msms" format="tsv" label="${tool.name} on ${on_string}: tsv"
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86 from_work_dir="frag4feature.tsv" visible="true"/>
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87 <data name="frag4feature_rdata" format="rdata" label="${tool.name} on ${on_string}: RData"
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88 from_work_dir="frag4feature.RData" visible="true"/>
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89 <data name="frag4feature_sqlite" format="sqlite" label="${tool.name} on ${on_string}: Sqlite"
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90 from_work_dir="alldata.sqlite" visible="true"/>
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91 </outputs>
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92 <tests>
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93 <test>
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94 <conditional name="file_load_conditional">
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95 <param name="file_load_select" value="yes"/>
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96 <param name="input" >
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97 <collection type="list">
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98 <element name="LCMS_1.mzML" value="LCMS_1.mzML"/>
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99 <element name="LCMS_2.mzML" value="LCMS_2.mzML"/>
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100 <element name="LCMSMS_1.mzML" value="LCMSMS_1.mzML"/>
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101 <element name="LCMSMS_2.mzML" value="LCMSMS_2.mzML"/>
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102 </collection>
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103 </param>
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104 </conditional>
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105 <param name="xset" value="LCMS_1_LCMS_2_LCMSMS_1_LCMSMS_2.xset.group.rdata"/>
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106 <param name="pa" value="LCMS_1_LCMS_2_LCMSMS_1_LCMSMS_2.assess_purity.rdata"/>
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107 <output name="rag4feature_grouped_msms" value="frag4feature_output.tsv" >
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108 </output>
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109 </test>
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110 </tests>
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111 <expand macro="citations" />
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112 <help><![CDATA[
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113 =============================================================
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114 Link fragmentation spectra to XCMS features
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115 =============================================================
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116 -----------
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117 Description
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118 -----------
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119
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120 Tool to link XCMS features to fragmentation spectra and create an SQLite database of all the data and connections.
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121
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122 The data inputs are:
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123
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124 * A purityA object (generated from assess_purity_msms) saved in an rdata file.
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125 * A xcmsSet grouped object (generated from xcms_group) saved in an rdata file
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126 * [optional] a dataset collection of the mzML files to resubmit
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127
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128 See Bioconductor documentation for more details, function msPurity::dimsPredictPurity()
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129
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130 -----------
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131 Outputs
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132 -----------
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133 * frag4feature_rdata: An updated purityA object saved as rdata file with fragmentation-feature links added
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134 * frag4feature_grouped_msms: A flat file of all the XCMS peaks for each grouped feature and the corresponding fragmentation scans
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135 * frag4feature_sqlite: An SQLite database of the data (including fragmentation scans)
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136
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137
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138
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139 ]]></help>
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140
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141 </tool>