Mercurial > repos > galaxyp > quantp
annotate quantp.xml @ 2:ed0bb50d7ffe draft
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author | galaxyp |
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date | Wed, 09 Jan 2019 16:59:24 -0500 |
parents | bcc7a4c4cc29 |
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1 <tool id="quantp" name="QuanTP" version="1.1.1"> |
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2 <description>Correlation between protein and transcript abundances</description> |
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3 <requirements> |
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4 <requirement type="package" version="1.10.4">r-data.table</requirement> |
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5 <requirement type="package" version="3.0.1">r-gplots</requirement> |
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6 <requirement type="package" version="0.7.6">r-dplyr</requirement> |
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7 <requirement type="package" version="3.0.0">r-ggplot2</requirement> |
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8 <requirement type="package" version="0.4.5">r-ggfortify</requirement> |
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9 <requirement type="package" version="4.8.0">r-plotly</requirement> |
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10 <requirement type="package" version="0.6.1.1">r-d3heatmap</requirement> |
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11 </requirements> |
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12 <command detect_errors="exit_code"><![CDATA[ |
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13 Rscript '$__tool_directory__/quantp.r' |
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14 $experiment_design_option.sample_type |
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15 $experiment_design_option.method_type |
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16 $experiment_design_option.exp_design |
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17 '$pe_exp' |
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18 '$te_exp' |
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19 $experiment_design_option.correction_method |
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20 $cooksd_upper |
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21 $nclust |
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22 $hm_nclust |
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23 $experiment_design_option.volcano_with |
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24 '$html_file' |
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25 '$html_file.files_path' |
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26 ]]></command> |
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27 <inputs> |
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28 <param name="pe_exp" type="data" format="tabular" label="Input Protein Abundance File" help="Protein abundance input file"/> |
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29 <param name="te_exp" type="data" format="tabular" label="Input RNA Abundance File" help="Transcript abundance input file"/> |
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30 <conditional name="experiment_design_option"> |
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31 <param name="sample_type" type="select" label="Select data input type" help="If the input files already have fold-change values, select Log fold-change. Else, select abundances and the tool will perform the fold-change analysis"> |
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32 <option value="multiple" selected="True">Abundances from different conditions with or without replicates (in multiple columns)</option> |
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33 <option value="logfold">Log fold-change values (or single condition abundance without replicates in single column) data</option> |
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34 </param> |
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35 <when value="logfold"> |
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36 <param name="exp_design" type="hidden" value="none" /> |
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37 <param name="method_type" type="hidden" value="none" /> |
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38 <param name="correction_method" type="hidden" value="none" /> |
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39 <param name="volcano_with" type="hidden" value="pval" /> |
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40 </when> |
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41 <when value="multiple"> |
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42 <param name="exp_design" type="data" format="tabular" help="Please check the format of the experiment design file"> |
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43 <label>Experiment design File (Please see the format below)</label> |
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44 </param> |
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45 <param name="method_type" type="select" label="Data summarization method" help="Perform T-Test on selecting Mean; Wilcoxon Ranksum Test on selecting Median"> |
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46 <option value="mean" selected="True">Mean (Default)</option> |
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47 <option value="median">Median</option> |
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48 </param> |
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49 <param name="correction_method" type="select" label="Multiple testing correction method"> |
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50 <option value="BH" selected="True">Benjamini and Hochberg (BH) (Default)</option> |
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51 <option value="holm">Holm</option> |
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52 <option value="hochberg">Hochberg</option> |
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53 <option value="hommel">Hommel</option> |
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54 <option value="bonferroni">Bonferroni</option> |
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55 <option value="BY">Benjamini and Yekutieli (BY)</option> |
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56 <option value="none">None</option> |
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57 </param> |
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58 <param name="volcano_with" type="select" display="radio" label="Volcano plot with p-value or adjusted p-value"> |
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59 <option value="pval" selected="True">P-value (Default)</option> |
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60 <option value="adj_pval">Adjusted P-value</option> |
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61 </param> |
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62 </when> |
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63 </conditional> |
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64 <param name="cooksd_upper" type="integer" value="4" optional="false" > |
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65 <label>Influential Observation cutoff: Observations > value * mean of Cook's distances (Default: "4" * mean(Cook's Distance))</label> |
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66 </param> |
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67 <param name="nclust" type="select" label="K-mean clustering: Number of clusters"> |
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68 <option value="1">1</option> |
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69 <option value="2">2</option> |
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70 <option value="3">3</option> |
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71 <option value="4" selected="True">4</option> |
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72 <option value="5">5</option> |
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73 <option value="6">6</option> |
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74 <option value="7">7</option> |
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75 <option value="8">8</option> |
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76 <option value="9">9</option> |
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77 <option value="10">10</option> |
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78 </param> |
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79 |
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80 <param name="hm_nclust" type="select" label="Hierarchical clustering: Number of clusters (from Heatmap)"> |
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81 <option value="1">1</option> |
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82 <option value="2">2</option> |
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83 <option value="3">3</option> |
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84 <option value="4">4</option> |
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85 <option value="5" selected="True">5</option> |
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86 <option value="6">6</option> |
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87 <option value="7">7</option> |
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88 <option value="8">8</option> |
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89 <option value="9">9</option> |
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90 <option value="10">10</option> |
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91 </param> |
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92 </inputs> |
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93 <outputs> |
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94 <data format="html" name="html_file" label="protein transcript correlation on ${pe_exp.name} and ${te_exp.name}"/> |
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95 </outputs> |
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96 <tests> |
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97 <test> |
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98 <conditional name="experiment_design_option"> |
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99 <param name="sample_type" value="multiple"/> |
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100 <param name="method_type" value="mean"/> |
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101 <param name="exp_design" value="exp_design_file.tabular" ftype="tabular" /> |
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102 <param name="correction_method" value="BH"/> |
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103 <param name="volcano_with" value="pval"/> |
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104 </conditional> |
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105 <param name="pe_exp" value="protein_data.tabular" ftype="tabular" /> |
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106 <param name="te_exp" value="transcript_data.tabular" ftype="tabular" /> |
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107 <param name="cooksd_upper" value="4"/> |
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108 <param name="nclust" value="4"/> |
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109 <param name="hm_nclust" value="5"/> |
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110 <output name="html_file"> |
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111 <assert_contents> |
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112 <has_text text="SAMPLE DISTRIBUTION" /> |
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113 <has_text text="plotly" /> |
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114 </assert_contents> |
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115 </output> |
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116 </test> |
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117 <test> |
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118 <conditional name="experiment_design_option"> |
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119 <param name="sample_type" value="logfold"/> |
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120 <param name="correction_method" value="BH"/> |
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121 <param name="volcano_with" value="pval"/> |
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122 </conditional> |
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123 <param name="pe_exp" value="mouse_protein_log_data.txt" ftype="tabular" /> |
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124 <param name="te_exp" value="mouse_transcript_log_data.txt" ftype="tabular" /> |
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125 <param name="cooksd_upper" value="4"/> |
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126 <param name="nclust" value="4"/> |
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127 <param name="hm_nclust" value="5"/> |
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128 <output name="html_file"> |
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129 <assert_contents> |
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130 <has_text text="SAMPLE DISTRIBUTION" /> |
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131 <has_text text="plotly" /> |
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132 </assert_contents> |
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133 </output> |
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134 </test> |
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135 </tests> |
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136 <help><![CDATA[ |
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137 |
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138 **What it does** |
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139 |
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140 QuanTP correlates *transcript abundance* and *protein abundance* to examine the association between them. |
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141 |
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142 It either takes in the log fold-change of abundances as input or raw abundances from different conditions where it calculates the log ratios of abundances between two conditions. |
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143 |
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144 Transcript input file can be generated from the quantitative RNA-Seq study whereas Protein input file can be generated from quantitative analysis of mass-spectrometry-based protein data. |
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145 |
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146 ----- |
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147 |
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148 **Input file formats** |
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149 |
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150 **Protein data file** |
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151 |
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152 First column - Gene |
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153 |
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154 Following columns - Abundance values (or log fold-change values) |
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155 |
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156 Example of Protein input file |
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157 |
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158 ====== ========= ========= ========= ========= ========= ========= ========= ========= |
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159 Gene sample1 sample2 sample3 sample4 sample5 sample6 sample7 sample8 |
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160 ------ --------- --------- --------- --------- --------- --------- --------- --------- |
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161 GeneX value value value value value value value value |
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162 GeneY value value value value value value value value |
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163 GeneZ value value value value value value value value |
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164 ====== ========= ========= ========= ========= ========= ========= ========= ========= |
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165 |
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166 |
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167 **Transcript data file** |
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168 |
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169 First column - Gene |
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170 |
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171 Following columns - Abundance values (or log fold-change values) |
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172 |
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173 Example of Transcript input file |
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174 |
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175 ====== ========= ========= ========= ========= ========= ========= ========= ========= |
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176 Gene sample1 sample2 sample3 sample4 sample5 sample6 sample7 sample8 |
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177 ------ --------- --------- --------- --------- --------- --------- --------- --------- |
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178 GeneX value value value value value value value value |
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179 GeneY value value value value value value value value |
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180 GeneZ value value value value value value value value |
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181 ====== ========= ========= ========= ========= ========= ========= ========= ========= |
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182 |
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183 |
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184 **Data input type** |
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185 |
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186 If data input type is abundance, experiment design file is required. |
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187 |
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188 Example of experiment design file |
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189 |
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190 ======== ========= |
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191 case groupA |
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192 control groupB |
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193 sample1 groupA |
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194 sample2 groupA |
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195 sample3 groupA |
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196 sample4 groupA |
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197 sample5 groupB |
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198 sample6 groupB |
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199 sample7 groupB |
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200 sample8 groupB |
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201 ======== ========= |
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202 |
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203 Note: No title/header in experiment design file and the first two lines of the experiment design must have keyword "case" and "control" |
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204 |
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205 ]]> |
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206 </help> |
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207 <citations> |
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208 <citation type="bibtex"> |
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209 @misc{QuanTP: A software resource for quantitative proteo-transcriptomic comparative data analysis and informatics, |
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210 author={Praveen Kumar, Priyabrata Panigrahi, James Johnson, Wanda Weber, Subina Mehta, Ray Sajulga, Caleb Easterly, Brian Crooker, Mohammad Heydarian, Krishanpal Anamika, Timothy Griffin, and Pratik Jagtap}, |
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211 year={2018}, |
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212 title={QuanTP} |
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213 } |
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214 </citation> |
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215 </citations> |
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216 </tool> |