annotate msigdb_workflow.xml @ 0:0fbb062e0cf5 draft default tip

planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
author mbernt
date Tue, 19 Dec 2023 15:51:04 +0000
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1 <tool id="proteomicsr_msigdb_workflow" name="proteomicsr: enrichment using MSigDB gene sets" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="21.05">
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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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5 <expand macro="requirements"/>
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6 <stdio>
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7 <regex source="stdout" level="fatal" match="ERROR: Timeout" description="The ENSEMBL server timed out. A retry may help."/>
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8 </stdio>
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9 <command detect_errors="exit_code"><![CDATA[
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10 Rscript '$rscript'
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11 && mv Rdata/Summary_ALL.csv .
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12 ]]></command>
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13 <configfiles>
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14 <configfile name="rscript"><![CDATA[
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15 library(proteomicsr)
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16
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17 #if $dat_calculated.ext == 'csv'
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18 dat_calculated <- read.csv("$dat_calculated", row.names = 1)
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19 #else
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20 dat_calculated <- read.delim("$dat_calculated", header = TRUE, row.names = 1, sep = "\t")
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21 #end if
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22 @READ_SAMPLE_GENES_MAPPING@
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23
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24 null <- run_msigdb_workflow(
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25 dat_calculated,
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26 msigdb_category = "$msigdb_category",
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27 #if $msigdb_subcategory
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28 msigdb_subcategory = "$msigdb_subcategory",
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29 #end if
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30 ## knowledgebase = NULL, not needed
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31 sampleGenes = NULL,
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32 sampleMapping = NULL,
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33 pvalue_decision = "$pvalue_decision",
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34 significance_cutoff_candidates = $significance_cutoff_candidates,
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35 get_ID_to_map = NULL,
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36 ID_provided = "$ID_provided",
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37 organism = "$organism",
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38 padjust_method = "$padjust_method",
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39 significance_cutoff_terms = $significance_cutoff_terms,
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40 direction_calculation = "$direction_calculation",
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41 topx = $topx,
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42 topx_per_comparison = $topx_per_comparison,
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43 #if $plot_term_candidates
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44 plot_term_candidates = "$plot_term_candidates",
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45 #end if
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46 color_up = "${color_up}FF",
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47 color_down = "${color_down}FF"
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48 )
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49 ]]></configfile>
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50 </configfiles>
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51 <inputs>
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52
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53 <param argument="dat_calculated" type="data" format="csv,tabular" label="Sample table" help="Rows: unique identifiers (e.g. uniprot accessions), Columns: samples. Replicates should be indicated using _1, _2, .... Content should be numeric."/>
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54 <param argument="msigdb_category" type="select" label="Gene set knowledgebase" help="Visit https://www.gsea-msigdb.org/gsea/msigdb/human/collections.jsp to get more information on MSigDB categories and if the chosen category needs the definition of a subcategory. MEDICUS and LEGACY gene sets seem to be not supported yet.">
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55 <option value="H">Hallmark gene sets</option>
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56 <option value="C1">Positional gene sets</option>
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57 <option value="C2">Curated gene sets</option>
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58 <option value="C3">Regulatory target gene sets</option>
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59 <option value="C4">Computational gene sets</option>
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60 <option value="C5">Ontology gene sets</option>
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61 <option value="C6">Oncogenic signature gene sets</option>
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62 <option value="C7">Immunologic signature gene sets</option>
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63 <option value="C8">Cell type signature gene sets</option>
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64 </param>
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65 <param argument="msigdb_subcategory" type="select" optional="true" label="Gene set knowledgebase subcategory" help="Visit https://www.gsea-msigdb.org/gsea/msigdb/human/collections.jsp to get more information on MSigDB categories and if the chosen category needs the definition of a subcategory. MEDICUS and LEGACY gene sets seem to be not supported yet.">
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66 <option value="CGP">C2 subcategory: chemical and genetic perturbations</option>
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67 <option value="CP">C2 subcategory: canonical pathways</option>
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68 <option value="CP:BIOCARTA">C2 subcategory: BioCarta canonical pathways</option>
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69 <option value="CP:KEGG">C2 subcategory: KEGG canonical pathways (KEGG_MEDICUS and KEGG_LEGACY seem to be not supported yet)</option>
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70 <option value="CP:PID">C2 subcategory: PID canonical pathways</option>
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71 <option value="CP:REACTOME">C2 subcategory: Reactome canonical pathways</option>
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72 <option value="MIR:MIRDB">C3 subcategory: gene sets containing high-confidence gene-level predictions of human miRNA targets as catalogued by miRDB v6.0 algorithm (MIR_LEGACY seems to be not supported yet)</option>
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73 <option value="TFT:GTRD">C3 subcategory: genes that share GTRD predicted transcription factor binding sites in the region -1000,+100 bp around the TSS for the indicated transcription factor.</option>
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74 <option value="CGN">C4 subcategory: cancer gene neighborhoods</option>
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75 <option value="CM">C4 subcategory: cancer modules</option>
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76 <option value="GO:BP">C5 subcategory: gene sets derived from the GO Biological Process ontology</option>
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77 <option value="GO:CC">C5 subcategory: gene sets derived from the GO Cellular Component ontology</option>
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78 <option value="GO:MF">C5 subcategory: gene sets derived from the GO Molecular Function ontology</option>
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79 <option value="HPO">C5 subcategory: Human Phenotype Ontology</option>
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80 <option value="IMMUNESIGDB">C7 subcategory: gene sets representing chemical and genetic perturbations of the immune system generated by manual curation of published studies in human and mouse immunology</option>
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81 <option value="VAX">C7 subcategory: gene sets curated by the Human Immunology Project Consortium (HIPC) describing human transcriptomic immune responses to vaccinations</option>
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82 </param>
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83 <!-- <param argument="knowledgebase" type="text" value="" label="Pattern to add to ouput, i.e. the database used for enrichment" help="Default is NULL, thus nothing is added to the output."/> -->
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84 <expand macro="sample_genes_mapping"/>
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85 <param argument="ID_provided" type="text" value="uniprotswissprot" label="Define provided identifier" help="Define the ID type used in your dataframe of average Log2(FCs) and (adjusted) p-values. The ID should relate to attributes available using attributes = biomaRt::listAttributes(biomaRt::useMart(biomart = &quot;ENSEMBL_MART_ENSEMBL&quot;, dataset = &quot;hsapiens_gene_ensembl&quot;)) or the attributes specific for the defined organism (e.g. &quot;mmusculus_gene_ensembl&quot; or &quot;rnorvegicus_gene_ensembl&quot;)."/>
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86 <!-- set of supported species can be determined with msigdbr::msigdbr_species()
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87 TODO commented species require input to get_ID_to_map -->
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88 <param argument="organism" type="select" label="Organism used" help="">
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89 <!-- <option value="Anolis carolinensis"/> -->
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90 <option value="Bos taurus"/>
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91 <option value="Caenorhabditis elegans"/>
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92 <option value="Canis lupus familiaris"/>
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93 <option value="Danio rerio"/>
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94 <option value="Drosophila melanogaster"/>
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95 <!-- <option value="Equus caballus"/> -->
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96 <!-- <option value="Felis catus"/> -->
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97 <option value="Gallus gallus"/>
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98 <option value="Homo sapiens" selected="true"/>
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99 <!-- <option value="Macaca mulatta"/> -->
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100 <!-- <option value="Monodelphis domestica"/> -->
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101 <option value="Mus musculus"/>
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102 <!-- <option value="Ornithorhynchus anatinus"/> -->
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103 <!-- <option value="Pan troglodytes"/> -->
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104 <option value="Rattus norvegicus"/>
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105 <option value="Saccharomyces cerevisiae"/>
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106 <!-- <option value="Schizosaccharomyces pombe 972h-"/> -->
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107 <option value="Sus scrofa"/>
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108 <!-- <option value="Xenopus tropicalis"/> -->
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109 </param>
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110 <!-- should be pvalue pvalueadj if used downstream of fc_workflow or intensity_workflow -->
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111 <param argument="pvalue_decision" type="text" value="pvalueadj" label="Pattern to select columns containing p-values to use" help="Examples: When pvalue, all columns ending on _pvalue are used to filter for significantly altered candidates, whereas the pattern pvalueadj will use all columns ending with this pattern"/>
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112 <param argument="significance_cutoff_candidates" type="float" value="0.05" min="0" max="1" label="Significance cutoff to filter for candidates used for enrichment" help="All candidates with (adjusted) p-value below this threshold will be subjected to enrichment analysis"/>
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113 <param argument="significance_cutoff_terms" type="float" value="0.05" min="0" max="1" label="Significance cutoff to identify significantly enriched terms" help="All terms with (adjusted) p-value below this threshold will be considered significantly enriched"/>
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114 <param argument="padjust_method" type="select" label="Method for p-value adjustment during enrichment analysis" help="">
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115 <option value="holm">Holm</option>
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116 <option value="hochberg">Hochberg</option>
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117 <option value="hommel">Hommel</option>
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118 <option value="bonferroni">Bonferroni</option>
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119 <option value="BY">Benjamini &amp; Yekutieli (BY)</option>
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120 <option value="fdr" selected="true">Benjamini &amp; Hochberg (BH/fdr)</option>
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121 <option value="none">None</option>
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122 </param>
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123 <param argument="direction_calculation" type="select" label="Decide how to calculate the direction of the term regulation" help="Decide whether to use median or mean values of the Log2(fold changes) of the candidates used for enrichment and assigned to the term.">
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124 <option value="median">Hallmark gene sets</option>
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125 <option value="mean">Positional gene sets</option>
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126 </param>
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127 <param argument="topx" type="integer" min="1" value="10" label="Number of top enriched pathways to return and visualize" help="In addition to exporting and visualizing all enriched terms and the significantly enriched terms, the top enriched terms will be exported and visualized based on the value defined here."/>
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128 <param argument="topx_per_comparison" type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="true" label="Extract the top enriched terms condition-wise" help="Decide whether to extract the top enriched terms condition-wise or based on their summed enrichment over all conditions"/>
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129 <param argument="plot_term_candidates" type="select" optional="true" label="Decide whether to visualize candidates assigned to enriched terms" help="">
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130 <option value="significant">Candidates of significantly enriched terms</option>
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131 <option value="all">Candidates of all enriched terms</option>
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132 </param>
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133 <param argument="color_up" type="color" value="#DC0000" label="Color for up-regulated candidates"/>
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134 <param argument="color_down" type="color" value="#3C5488" label="Color for down-regulated candidates"/>
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135 <param name="out_select" type="select" multiple="true" optional="true" label="Optional outputs">
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136 <option value="tables" selected="true">Detailed tables</option>
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137 <option value="plots" selected="true">Plots</option>
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138 </param>
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139 </inputs>
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140 <outputs>
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141 <data name="summary" format="csv" from_work_dir="Summary_ALL.csv"/>
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142 <collection name="output" type="list" label="${tool.name} on ${on_string}: additional tables">
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143 <discover_datasets pattern="__name_and_ext__" directory="Rdata"/>
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144 <filter>out_select and "tables" in out_select</filter>
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145 </collection>
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146 <collection name="plots" type="list" label="${tool.name} on ${on_string}: plots">
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147 <discover_datasets pattern="__name_and_ext__" directory="Plots"/>
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148 <filter>out_select and "plots" in out_select</filter>
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149 </collection>
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150
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151 <collection name="sig_output" type="list" label="${tool.name} on ${on_string}: additional tables for significantly enriched terms">
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152 <discover_datasets pattern="__name_and_ext__" directory="CandidatesSignificantTerms/Rdata"/>
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153 <filter>"significant" in plot_term_candidates</filter>
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154 <filter>out_select and "tables" in out_select</filter>
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155 </collection>
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156 <collection name="sig_plots" type="list" label="${tool.name} on ${on_string}: plots for significantly enriched terms">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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157 <discover_datasets pattern="__name_and_ext__" directory="CandidatesSignificantTerms/Plots"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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158 <filter>"significant" in plot_term_candidates</filter>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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159 <filter>out_select and "plots" in out_select</filter>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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160 </collection>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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161
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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162 <collection name="all_output" type="list" label="${tool.name} on ${on_string}: additional tables for all enriched terms">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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163 <discover_datasets pattern="__name_and_ext__" directory="CandidatesAllTerms/Rdata"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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164 <filter>"all" in plot_term_candidates</filter>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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165 <filter>out_select and "tables" in out_select</filter>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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166 </collection>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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167 <collection name="all_plots" type="list" label="${tool.name} on ${on_string}: plots for all enriched terms">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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168 <discover_datasets pattern="__name_and_ext__" directory="CandidatesAllTerms/Plots"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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169 <filter>"all" in plot_term_candidates</filter>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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170 <filter>out_select and "plots" in out_select</filter>
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171 </collection>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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172 </outputs>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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173 <tests>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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174 <test expect_num_outputs="5">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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175 <param name="dat_calculated" value="dat_calculated.csv" ftype="csv"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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176 <param name="plot_term_candidates" value="significant"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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177 <output name="summary">
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178 <assert_contents>
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mbernt
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179 <has_n_lines n="89"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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180 <has_n_columns sep="," n="7"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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181 </assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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182 </output>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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183 <output_collection name="output" count="5" type="list">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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184 <element name="Enrichment_results_log.p.adjust_pvalueadj_0.05" ftype="csv">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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185 <assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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186 <has_n_lines n="45"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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187 <has_n_columns sep="," n="3"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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188 </assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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189 </element>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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diff changeset
190 <element name="Enrichment_results_long_pvalueadj_0.05_median_FC" ftype="csv">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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191 <assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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192 <has_n_lines n="70"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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193 <has_n_columns sep="," n="12"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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194 </assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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195 </element>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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diff changeset
196 <element name="Enrichment_results_median_FC_pvalueadj_0.05" ftype="csv">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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197 <assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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198 <has_n_lines n="45"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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diff changeset
199 <has_n_columns sep="," n="3"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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200 </assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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201 </element>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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202 <element name="MSigDB_gene_set_ID_mapping" ftype="csv">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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203 <assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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204 <has_n_lines n="8210"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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diff changeset
205 <has_n_columns sep="," n="2"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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206 </assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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207 </element>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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208 <element name="Summary_Top10_combined" ftype="csv">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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209 <assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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210 <has_n_lines n="29"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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211 <has_n_columns sep="," n="7"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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212 </assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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213 </element>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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214 </output_collection>
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215 <output_collection name="plots" count="9" type="list"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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216 <output_collection name="sig_output" count="8" type="list">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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217 <element name="Candidates_HALLMARK_COMPLEMENT" ftype="csv">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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218 <assert_contents>
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219 <has_n_lines n="13"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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220 <has_n_columns sep="," n="8"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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221 </assert_contents>
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222 </element>
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223 <element name="Candidates_HALLMARK_INFLAMMATORY_RESPONSE" ftype="csv">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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224 <assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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225 <has_n_lines n="10"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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226 <has_n_columns sep="," n="8"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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227 </assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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228 </element>
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229 <element name="Candidates_HALLMARK_TNFA_SIGNALING_VIA_NFKB" ftype="csv">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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230 <assert_contents>
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231 <has_n_lines n="16"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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232 <has_n_columns sep="," n="8"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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233 </assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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234 </element>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
mbernt
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235 <element name="Candidates_HALLMARK_UV_RESPONSE_UP" ftype="csv">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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236 <assert_contents>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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237 <has_n_lines n="8"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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238 <has_n_columns sep="," n="8"/>
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239 </assert_contents>
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240 </element>
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241 <element name="Candidates_ggplot_HALLMARK_COMPLEMENT" ftype="csv">
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242 <assert_contents>
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243 <has_n_lines n="25"/>
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244 <has_n_columns sep="," n="8"/>
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245 </assert_contents>
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246 </element>
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247 <element name="Candidates_ggplot_HALLMARK_INFLAMMATORY_RESPONSE" ftype="csv">
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248 <assert_contents>
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249 <has_n_lines n="19"/>
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250 <has_n_columns sep="," n="8"/>
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251 </assert_contents>
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252 </element>
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253 <element name="Candidates_ggplot_HALLMARK_TNFA_SIGNALING_VIA_NFKB" ftype="csv">
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254 <assert_contents>
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255 <has_n_lines n="31"/>
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256 <has_n_columns sep="," n="8"/>
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257 </assert_contents>
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258 </element>
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259 <element name="Candidates_ggplot_HALLMARK_UV_RESPONSE_UP" ftype="csv">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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260 <assert_contents>
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261 <has_n_lines n="15"/>
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262 <has_n_columns sep="," n="8"/>
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263 </assert_contents>
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264 </element>
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265 </output_collection>
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266 <output_collection name="sig_plots" count="8" type="list"/>
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267 </test>
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268 <!-- same + sample genes -->
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269 <test expect_num_outputs="5">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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270 <param name="dat_calculated" value="dat_calculated.csv" ftype="csv"/>
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271 <param name="sampleGenes" value="sampleGenes.csv" ftype="csv"/>
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272 <param name="plot_term_candidates" value="significant"/>
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273 <output name="summary">
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274 <assert_contents>
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275 <has_n_lines n="89"/>
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276 <has_n_columns sep="," n="7"/>
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277 </assert_contents>
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278 </output>
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279 <output_collection name="output" count="5" type="list"/>
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280 <output_collection name="plots" count="9" type="list"/>
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281 <output_collection name="sig_output" count="8" type="list"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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282 <output_collection name="sig_plots" count="8" type="list"/>
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283 </test>
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284 <!-- same + sample genes + sample mapping -->
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285 <test expect_num_outputs="5">
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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286 <param name="dat_calculated" value="dat_calculated.csv" ftype="csv"/>
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287 <param name="sampleGenes" value="sampleGenes.csv" ftype="csv"/>
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288 <param name="sampleMapping" value="sampleMapping.csv" ftype="csv"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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289 <param name="plot_term_candidates" value="significant"/>
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290 <output name="summary">
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291 <assert_contents>
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292 <has_n_lines n="89"/>
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293 <has_n_columns sep="," n="7"/>
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294 </assert_contents>
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295 </output>
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296 <output_collection name="output" count="5" type="list"/>
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297 <output_collection name="plots" count="9" type="list"/>
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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298 <output_collection name="sig_output" count="8" type="list"/>
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299 <output_collection name="sig_plots" count="8" type="list"/>
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300 </test>
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301 <!-- same as 1st test but plot all candidates + only output tables -->
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302 <test expect_num_outputs="3">
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303 <param name="dat_calculated" value="dat_calculated.csv" ftype="csv"/>
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304 <param name="plot_term_candidates" value="all"/>
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305 <param name="out_select" value="tables"/>
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306 <output name="summary">
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307 <assert_contents>
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308 <has_n_lines n="89"/>
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309 <has_n_columns sep="," n="7"/>
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310 </assert_contents>
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311 </output>
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312 <output_collection name="output" count="5" type="list"/>
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313 <output_collection name="all_output" count="88" type="list"/>
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314 </test>
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315 </tests>
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316 <help><![CDATA[
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317 Enrichment analysis workflow using MSigDB gene sets
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318
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319 Providing a table with average Log2(FCs) and (adjusted) p-values, enrichment analysis is conducted against the gene sets provided by the MSigDB
0fbb062e0cf5 planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/tools/proteomicsr commit a73787be689a9af5641ff1b594c9a35d29093247-dirty
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320 ]]></help>
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321 <expand macro="citations"/>
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322 </tool>