Mercurial > repos > galaxyp > reactome_pathwaymatcher

annotate pathwaymatcher.xml @ 3:2cd67294abbd draft

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planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/pathwaymatcher commit 79d03b32b395b4c1385ff934251b17ea8950187b
author galaxyp
date Wed, 08 May 2019 13:41:47 -0400
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f66af2b04a98 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/pathwaymatcher commit c12a99d3da62c83b779175b3c9022e7d5622053a
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1 <tool id="reactome_pathwaymatcher" name="Pathway Matcher" version="@PATHWAYMATCHER_VERSION@.@TOOL_SUBVERSION@">
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2 <description>
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3 PathwayMatcher is a software tool to search for pathways related to a list of proteins in Reactome.
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4 </description>
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5 <macros>
3
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6 <token name="@PATHWAYMATCHER_VERSION@">1.9.1</token>
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7 <token name="@TOOL_SUBVERSION@">1</token>
0
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8 <xml name="input_fasta">
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9 <param format="fasta" name="input_database" type="data" label="Protein Database"
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10 help="Select FASTA database from history"/>
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11 </xml>
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12 </macros>
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13 <requirements>
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14 <requirement type="package" version="@PATHWAYMATCHER_VERSION@">pathwaymatcher</requirement>
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15 <requirement type="package" version="3.0">zip</requirement>
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16 </requirements>
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17 <stdio>
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18 <exit_code range="1:" level="fatal" description="Job Failed" />
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19 <regex match="java.*Exception" level="fatal" description="Java Exception"/>
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20 <regex match="Could not create the Java virtual machine" level="fatal" description="JVM Error"/>
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21 </stdio>
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22 <command>
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23 <![CDATA[
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24 #from datetime import datetime
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25 #import json
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26 #import os
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27 #set $exp_str = "Galaxy_Experiment_%s" % datetime.now().strftime("%Y%m%d%H%M%s")
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28 #set $samp_str = "Sample_%s" % datetime.now().strftime("%Y%m%d%H%M%s")
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29 #set $temp_stderr = "pathwaym_stderr"
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30 #set $bin_dir = "bin"
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31
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32 mkdir output;
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33 cwd=`pwd`;
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34 export HOME=\$cwd;
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35
3
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36 ## If we use peptideshaker files as inputs, firstly we need to uncompress their proteoforms files.
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37 #for $i, $s in enumerate($match_types)
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38 #if $s.match_type.match_type_selector == "peptideshakerzip_proteoforms"
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39 ##unzip -l $s.match_type.input_peptideshakerzip_proteoforms;
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40 unzip -j '${$s.match_type.input_peptideshakerzip_proteoforms}' 'output_reports/proteoforms.txt' -d './';
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41 mv proteoforms.txt ps_proteoforms_'${$i}'.txt;
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42 #end if
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43 #end for
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44
0
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45 #####################
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46 ## Pathway Matcher ##
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47 #####################
3
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48 (pathwaymatcher
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49
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50 #for $i, $s in enumerate($match_types)
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51
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52
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53 ## PROTEOFORMS
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54
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55 #if $s.match_type.match_type_selector == "proteoforms"
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56 #if $s.match_type.proteoform_match_criteria:
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57 match-proteoforms -m '${s.match_type.proteoform_match_criteria}' -i '${s.match_type.input_proteoforms}' -r '${s.match_type.proteoform_range}'
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58 #else:
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59 match-proteoforms -i '${s.match_type.input_proteoforms}' -r '${s.match_type.proteoform_range}'
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60 #end if
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61 #end if
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62
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63 ## PROTEOFORMS FROM PEPTIDESHAKER FILE
0
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64
3
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65 #if $s.match_type.match_type_selector == "peptideshakerzip_proteoforms"
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66 #if $s.match_type.proteoform_peptideshakerzip_match_criteria:
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67 match-proteoforms -m '${s.match_type.proteoform_peptideshakerzip_match_criteria}' -i ps_proteoforms_'${$i}'.txt -r '${s.match_type.proteoform_peptideshakerzip_range}'
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68 #else:
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69 match-proteoforms -i ps_proteoforms_'${$i}'.txt -r '${s.match_type.proteoform_peptideshakerzip_range}'
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70 #end if
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71 #end if
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72
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74 ## GENES
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75
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76 #if $s.match_type.match_type_selector == "gene"
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77 match-genes -i '${s.match_type.input_gene}'
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78 #end if
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79
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81 ## PROTEINS
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83 #if $s.match_type.match_type_selector == "uniprot"
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84 match-uniprot -i '${s.match_type.input_uniprot}'
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85 #end if
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86
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87 #if $s.match_type.match_type_selector == "ensembl"
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88 match-ensembl -i '${s.match_type.input_ensembl}'
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89 #end if
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90
0
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91
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92 ## GENETIC VARIANTS
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93
3
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94 #if $s.match_type.match_type_selector == "vcf"
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95 match-vcf -i '${s.match_type.input_vcf}'
0
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96 #end if
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97
3
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98 #if $s.match_type.match_type_selector == "chrbp"
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99 match-chrbp -i '${s.match_type.input_chrbp}'
0
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100 #end if
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101
3
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102 #if $s.match_type.match_type_selector == "rsid"
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103 match-rsids -i '${s.match_type.input_rsid}'
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104 #end if
0
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105
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106
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107 ## PEPTIDES
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108
3
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109 #if $s.match_type.match_type_selector == "peptide"
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110 match-peptides -i '${s.match_type.input_peptide}'
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111 -f '${s.match_type.input_database}'
0
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112 #end if
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113
3
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114 #if $s.match_type.match_type_selector == "modifiedpeptide"
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115 match-modified-peptides -i '${s.match_type.input_modifiedpeptide}'
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116 -f '${s.match_type.input_database}'
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117 -m '${s.match_type.modifiedpeptide_match_criteria}'
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118 -r '${s.match_type.modifiedpeptide_ptm_range}'
0
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119 #end if
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120
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121
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122 #end for
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123
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124 ## OUTPUT OPTIONS
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125
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126 #if $output_options.search_top_level_info:
3
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127 -T
0
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128 #end if
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129
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130 #set $output_graphs_list = str($output_options.output_graphs).split(',')
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131
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132 #if 'gg' in $output_graphs_list:
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133 -gg
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134 #end if
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135
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136 #if 'gu' in $output_graphs_list:
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137 -gu
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138 #end if
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139
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140 #if 'gp' in $output_graphs_list:
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141 -gp
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142 #end if
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143
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144 2>> $temp_stderr);
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145
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146 ## We create a folder to contain graphs files.
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147 #if $output_options.output_graphs:
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148 mkdir "graphs";
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149 #end if
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150
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151 #if 'gg' in $output_graphs_list:
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152 mv -t "graphs" "geneExternalEdges.tsv" "geneInternalEdges.tsv" "geneVertices.tsv" ;
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153 #end if
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154
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155 #if 'gu' in $output_graphs_list:
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156 mv -t "graphs" "proteinExternalEdges.tsv" "proteinInternalEdges.tsv" "proteinVertices.tsv";
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157 #end if
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158
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159 #if 'gp' in $output_graphs_list:
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160 mv -t "graphs" "proteoformExternalEdges.tsv" "proteoformInternalEdges.tsv" "proteoformVertices.tsv";
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161 #end if
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162
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163 exit_code_for_galaxy=\$?;
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164 cat $temp_stderr 2>&1;
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165 (exit \$exit_code_for_galaxy)
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166 ]]>
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167 </command>
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168 <inputs>
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169
3
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170 <repeat name="match_types" title="Match" min="1">
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171 <conditional name="match_type">
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172 <param name="match_type_selector" type="select" label="Match type"
0
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173 help="">
3
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174 <option value="proteoforms">Proteoforms</option>
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175 <option value="peptideshakerzip_proteoforms">Proteoforms from Peptideshaker Archive</option>
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176 <option value="gene">Genes</option>
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177 <option value="uniprot">Proteins - UniProt Accession list</option>
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178 <option value="ensembl">Proteins - Ensembl identifier list</option>
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179 <option value="vcf">Genetic variants - Variant Call Format Specification</option>
0
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180 <option value="chrbp">Genetic variants - Chromosomes and base pairs</option>
3
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181 <option value="rsid">Genetic variants - SNP rsId list</option>
0
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182 <option value="peptide">Peptides - Simple list</option>
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183 <option value="modifiedpeptide">Peptides - Peptide List with PTM types and sites</option>
3
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184
0
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185 </param>
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186
3
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187
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188 <!-- Proteoforms -->
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189 <when value="proteoforms">
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190 <param format="txt" name="input_proteoforms" type="data" label="Proteoforms"
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191 help="A proteoform defines a specific state of a protein.
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192 It is composed by the protein UniProt accession, isoform and set of post translational modifications.
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193 The input file contains one line for each proteoform. Each PTM is specified using a modification
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194 identifier and a site, separated by ':'(semicolon). For example: '00046:133'.
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195 The identifier is a 5 digit id from the PSI-MOD Protein Modification Onthology [6]."/>
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196
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197 <param name="proteoform_match_criteria" type="select" label="Proteoform match criteria">
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198 <option value="STRICT">STRICT</option>
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199 <option value="SUPERSET">SUPERSET</option>
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200 <option value="SUPERSET_NO_TYPES">SUPERSET NO TYPES</option>
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201 <option value="SUBSET" selected="True">SUBSET</option>
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202 <option value="SUBSET_NO_TYPES">SUBSET NO TYPES</option>
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203 <option value="ONE">ONE</option>
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204 <option value="ONE_NO_TYPES">ONE_NO_TYPES</option>
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205 </param>
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206
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207 <param name="proteoform_range" type="integer" value="0" label="Integer range of error for PTM sites" optional="true"
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208 help="Plus minus positions for the same PTM site"/>
0
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209 </when>
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210
3
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211 <when value="peptideshakerzip_proteoforms">
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212 <param format="zip" name="input_peptideshakerzip_proteoforms" type="data" label="Proteoforms from Peptideshaker Archive"
2cd67294abbd planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/pathwaymatcher commit 79d03b32b395b4c1385ff934251b17ea8950187b
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213 help="A proteoform defines a specific state of a protein.
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214 It is composed by the protein UniProt accession, isoform and set of post translational modifications.
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215 The input file contains one line for each proteoform. Each PTM is specified using a modification
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216 identifier and a site, separated by ':'(semicolon). For example: '00046:133'.
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217 The identifier is a 5 digit id from the PSI-MOD Protein Modification Onthology [6]."/>
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218
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219 <param name="proteoform_peptideshakerzip_match_criteria" type="select" label="Proteoform match criteria">
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220 <option value="STRICT">STRICT</option>
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221 <option value="SUPERSET">SUPERSET</option>
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222 <option value="SUPERSET_NO_TYPES">SUPERSET NO TYPES</option>
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223 <option value="SUBSET" selected="True">SUBSET</option>
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224 <option value="SUBSET_NO_TYPES">SUBSET NO TYPES</option>
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225 <option value="ONE">ONE</option>
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226 <option value="ONE_NO_TYPES">ONE_NO_TYPES</option>
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227 </param>
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228
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229 <param name="proteoform_peptideshakerzip_range" type="integer" value="0" label="Integer range of error for PTM sites" optional="true"
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230 help="Plus minus positions for the same PTM site"/>
0
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231 </when>
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232
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233
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234 <!-- Genes -->
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235 <when value="gene">
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236 <param format="txt" name="input_gene" type="data" label="Genes"
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237 help="File with a one gene name in each line. Genes follow the HUGO gene nomenclature[3]."/>
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238 </when>
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239
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240
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241 <!-- Proteins -->
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242 <when value="uniprot">
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243 <param format="txt" name="input_uniprot" type="data" label="UniProt Accession list"
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244 help="File with a one Uniprot Accession [4] in each line."/>
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245 </when>
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246
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247 <when value="ensembl">
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248 <param format="txt" name="input_ensembl" type="data" label="Ensembl identifier list"
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249 help="File with a one Ensembl identifier [5] in each line."/>
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250 </when>
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251
3
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252 <!-- Genetic variants -->
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253
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254 <when value="vcf">
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255 <param format="vcf" name="input_vcf" type="data" label="Variant Call Format Specification"
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256 help="The input follows the Variant Call Format Specification[2] v4.3.
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257 It also allows the possibility to specify only the first 4 columns in the data section of the file:
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258 CHROM, POS, ID, REF. "/>
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259 </when>
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260
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261 <when value="chrbp">
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262 <param format="txt" name="input_chrbp" type="data" label="Chromosomes and base pairs"
2cd67294abbd planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/pathwaymatcher commit 79d03b32b395b4c1385ff934251b17ea8950187b
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263 help="Genetic variants can also be represented using the chromosome and the base pair numbers.
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264 The input should be sorted by chromosome number and then by base pair. "/>
2cd67294abbd planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/pathwaymatcher commit 79d03b32b395b4c1385ff934251b17ea8950187b
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265 </when>
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266
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267 <when value="rsid">
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268 <param format="txt" name="input_rsid" type="data" label="SNP rsId list"
2cd67294abbd planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/pathwaymatcher commit 79d03b32b395b4c1385ff934251b17ea8950187b
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269 help="The file contains one rsid identifier as defined in dbSNP[1] on each row.
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270 The list must be ordered by chromosome and base pair (bp). The list must not have duplicates.
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271 All rsids must appear in the human assembly GRCh37.p13. "/>
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272 </when>
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273
0
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274
3
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275 <!-- Peptides -->
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276 <when value="peptide">
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277 <param format="txt" name="input_peptide" type="data" label="Simple list"
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278 help="File with a one peptide sequence in each line."/>
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279
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280 <expand macro="input_fasta" />
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281
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282 </when>
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283
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284 <when value="modifiedpeptide">
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285 <param format="txt" name="input_modifiedpeptide" type="data" label="Peptide List with PTM types and sites"
2cd67294abbd planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/pathwaymatcher commit 79d03b32b395b4c1385ff934251b17ea8950187b
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286 help="Each line of the file corresponds to a single peptide with post-translational modifications."/>
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287
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288 <expand macro="input_fasta" />
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289
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290 <param name="modifiedpeptide_match_criteria" type="select" label="Proteoform match criteria. Only modified peptides.">
0
f66af2b04a98 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/pathwaymatcher commit c12a99d3da62c83b779175b3c9022e7d5622053a
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291 <option value="STRICT">STRICT</option>
3
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292 <option value="SUPERSET">SUPERSET</option>
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293 <option value="SUPERSET_NO_TYPES">SUPERSET NO TYPES</option>
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294 <option value="SUBSET" selected="True">SUBSET</option>
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295 <option value="SUBSET_NO_TYPES">SUBSET NO TYPES</option>
0
f66af2b04a98 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/pathwaymatcher commit c12a99d3da62c83b779175b3c9022e7d5622053a
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296 <option value="ONE">ONE</option>
3
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297 <option value="ONE_NO_TYPES">ONE_NO_TYPES</option>
0
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298 </param>
3
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299
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300 <param name="modifiedpeptide_ptm_range" type="integer" value="0" label="PTM position range" optional="true"
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301 help="Integer number margin error for sites of PTMs. Only for modified peptides."/>
0
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302 </when>
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303
3
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304
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305
0
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306 </conditional>
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307
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308 </repeat>
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309
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310 <section name="output_options" expanded="true" title="Output options">
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311
3
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312 <param name="search_top_level_info" type="select" label="Add Top Level Pathways in the search result.">
0
f66af2b04a98 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/pathwaymatcher commit c12a99d3da62c83b779175b3c9022e7d5622053a
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313 <option value="0" selected="True">False</option>
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314 <option value="1">True</option>
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315 </param>
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316
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317 <param name="output_graphs" type="select" display="checkboxes" multiple="True" label="Connection graphs"
f66af2b04a98 planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/pathwaymatcher commit c12a99d3da62c83b779175b3c9022e7d5622053a
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318 help="Generates a zipped file with connection graphs as an additional output when executing the pathway search and analysis.
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319 The graph can use genes, proteins or proteoforms as vertices.">
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320 <option value="gg">Genes</option>
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321 <option value="gu">Proteins</option>
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322 <option value="gp">Proteoforms</option>
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323 </param>
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324
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325 </section>
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326
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327 </inputs>
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328 <outputs>
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329 <data name="search" format="tsv" from_work_dir="search.tsv" label="${tool.name} - search on ${on_string}" />
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330 <data name="analysis" format="tsv" from_work_dir="analysis.tsv" label="${tool.name} - analysis on ${on_string}" />
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331 <collection name="graphs_files" type="list" label="${tool.name} - graphs on ${on_string}" >
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332 <filter>output_options['output_graphs'] != None</filter>
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333 <discover_datasets pattern="__name_and_ext__" directory="graphs" ext="tsv"/>
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334 </collection>
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335 </outputs>
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336
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337
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338 <tests>
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339
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340 <!-- Test that genes search works -->
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341 <test>
3
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342 <repeat name="match_types">
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343 <conditional name="match_type">
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344 <param name="match_type_selector" value="gene"/>
0
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345 <param name="input_gene" value="genes.txt" ftype="txt" />
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346 </conditional>
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347 </repeat>
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348 <output name="search" file="genes_search.tsv" ftype="tsv" compare="sim_size" delta="3000" />
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349 </test>
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350
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351 <!-- Test graphs from proteoforms -->
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352 <test>
3
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353 <repeat name="match_types">
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354 <conditional name="match_type">
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355 <param name="match_type_selector" value="proteoforms"/>
0
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356 <param name="input_proteoforms" value="proteoforms.txt" ftype="txt" />
3
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357 <param name="proteoform_match_criteria" value="SUBSET"/>
0
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358 </conditional>
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359 </repeat>
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360 <param name="output_graphs" value="gg,gu,gp" />
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361 <output_collection name="graphs_files" type="list">
3
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362 <!-- <element name="geneExternalEdges" ftype="tsv" file="proteoforms_graphs/geneExternalEdges.tsv" compare="sim_size" delta="1000" /> -->
0
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363 <element name="geneInternalEdges" ftype="tsv" file="proteoforms_graphs/geneInternalEdges.tsv" compare="sim_size" delta="1000"/>
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364 <element name="geneVertices" ftype="tsv" file="proteoforms_graphs/geneVertices.tsv" compare="sim_size" delta="1000"/>
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365 <element name="proteinExternalEdges" ftype="tsv" file="proteoforms_graphs/proteinExternalEdges.tsv" compare="sim_size" delta="10000"/>
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366 <element name="proteinInternalEdges" ftype="tsv" file="proteoforms_graphs/proteinInternalEdges.tsv" compare="sim_size" delta="1000"/>
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367 <element name="proteinVertices" ftype="tsv" file="proteoforms_graphs/proteinVertices.tsv" compare="sim_size" delta="1000"/>
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368 <element name="proteoformExternalEdges" ftype="tsv" file="proteoforms_graphs/proteoformExternalEdges.tsv" compare="sim_size" delta="1000"/>
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369 <element name="proteoformInternalEdges" ftype="tsv" file="proteoforms_graphs/proteoformInternalEdges.tsv" compare="sim_size" delta="1000"/>
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370 <element name="proteoformVertices" ftype="tsv" file="proteoforms_graphs/proteoformVertices.tsv" compare="sim_size" delta="1000"/>
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371 </output_collection>
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372 </test>
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373
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374 </tests>
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375 <help>
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376
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377 .. class:: infomark
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378
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379 **Introduction**
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380
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381 Biological pathways are an excellent resource to analyze the causes and consequences of certain phenotypes.
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382 Most of the components of the pathways are proteins. When searching for relevant pathways to perform analysis
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383 of a patient sample proteins, it is very common to lose information due to lack of precision in the search.
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384
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385 This leads to result sets with many extra selected pathways that are not really related to the input sample.
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386
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387 .. class:: infomark
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388
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389 **What it does**
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390
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391 We present more fine grained approach to search, not only with the gene names, but also with post translational
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392 modifications of the proteins, such as phosphorylation.
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393
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394 Ultimately, any omics dataset with its mutations and
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395 modifications will be mapped directly to the functional knowledgebases allowing the functional interpretation by
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396 researchers and clinicians.
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397
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398 The reference database used is Reactome, a free, open source, curated and peer reviewed database of biological reactions, that contains the quality data needed for this type of fine grained search. database of biological reactions. It can be readily queried with omics datasets, and we are improving its features by extending the matching the clinical data to the biological pathways. Not only will the gene names be used, but also mutations or post translational modifications such as phosphorylation.
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399
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400
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401 .. class:: infomark
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402
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403 **Inputs and outputs**
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404
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405 PathwayMatcher can search for reactions and pathways with various input types, and generates mapping files to the database.
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406
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407 The input can be:
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408
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409 - Genetic variants
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410 - Genes
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411 - Peptides
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412 - Protein
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413 - Proteoforms
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414
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415 The output of PathwayMatcher is composed of two files, the Reaction and Pathway mapping and the statistical analysis of the relevant pathways.
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416
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417 .. class:: infomark
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418
2
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419 **Try it now**
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420
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421 You can easily test PathwayMatcher functionality using the example files we provide with proteoforms and proteins information of Cystic Fibrosis:
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422
3
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423 https://media.githubusercontent.com/media/PathwayAnalysisPlatform/PathwayMatcher/master/src/test/resources/Proteoforms/Simple/CysticFibrosis.txt
2
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424
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425 https://media.githubusercontent.com/media/PathwayAnalysisPlatform/PathwayMatcher/master/src/test/resources/Proteins/UniProt/CysticFibrosis.txt
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426
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427 You can upload them to Galaxy by directly copying and pasting their URL into the Galaxy upload dialog (the button with the arrow pointing up in the top-left area, and then choosing *Pasta/Fetch data*).
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428
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429 Once they appear in green in your history, they have been uploaded and you can use them as inputs in PathwayMatcher.
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430
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431 Now, select *Proteoforms* as input type and, in the next drop-down list, the entry of your history corresponding to the proteoforms file you uploaded.
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432
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433 Then, click on *insert input* to add a new PathwayMatcher input for the proteins. Select *Proteins - Uniprot accession list* as input type and, in the next drop-down list, the entry in your history corresponding to this proteins file.
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434
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435 **Everything is ready**. By clicking on *Execute* PathwayMatcher will run with your chosen inputs and, after a short time, it will show in your history two more files with the search results and its analysis.
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436
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437 .. class:: infomark
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438
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439 Information included with this tool is a brief summary of the main one included in PathwayMatcher_.
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440
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441 Specific information about PathwayMatcher's Input_ and Output_ may also be found there.
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442
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443 .. class:: infomark
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444
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445 **References**
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446
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447 [1] dbSNP_
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448
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449 [2] VCF v4.3:
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450 http://samtools.github.io/hts-specs/VCFv4.3.pdf
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451
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452 [3] genenames.org: the HGNC resources in 2015. Nucleic Acids Res. 2015 Jan;43(Database issue):D1079-85. doi: 10.1093/nar/gku1071. :
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453 https://www.ncbi.nlm.nih.gov/pubmed/25361968
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454
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455 [4] UniProt: the universal protein knowledgebase. Nucleic Acids Res. 45: D158-D169 (2017):
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456 http://dx.doi.org/doi:10.1093/nar/gkw1099
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457
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458 [5] Ensembl:
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459 https://www.ensembl.org/info/genome/stable_ids/index.html
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460
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461 [6] The PSI-MOD community standard for representation of protein modification data. Nature Biotechnology 26, 864 - 866 (2008):
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462 http://www.nature.com/nbt/journal/v26/n8/full/nbt0808-864.html
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463
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464 .. _dbSNP: https://www.ncbi.nlm.nih.gov/projects/SNP/
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465 .. _PathwayMatcher: https://github.com/LuisFranciscoHS/PathwayMatcher
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466 .. _Input: https://github.com/LuisFranciscoHS/PathwayMatcher/wiki/Input
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467 .. _Output: https://github.com/LuisFranciscoHS/PathwayMatcher/wiki/Output
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468
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469 </help>
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470
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471 <citations>
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472 <citation type="doi">doi:10.1101/375097</citation>
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473 </citations>
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474
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475 </tool>