Mercurial > repos > jay > pdaug_tsvtofasta
annotate PDAUG_TSVtoFASTA/PDAUG_TSVtoFASTA.xml @ 8:95c09c06f655 draft
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit ac4353ca5c0ac9ce60df9f4bf160ed08b99fbee3"
author | jay |
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date | Thu, 28 Jan 2021 02:47:00 +0000 |
parents | e9fa3b6346e3 |
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"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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1 <tool id="pdaug_tsvtofasta" name="PDAUG TSVtoFASTA" version="0.1.0"> |
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2 |
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3 <description>Converts tabular peptide sequence data into fasta format</description> |
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4 |
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5 <requirements> |
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6 <requirement type="package" version="1.2.0">pandas</requirement> |
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7 </requirements> |
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8 <stdio> |
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9 <exit_code range="1" level="fatal" /> |
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10 </stdio> |
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11 <command detect_errors="exit_code"><![CDATA[ |
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12 |
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13 python '$__tool_directory__/PDAUG_TSVtoFASTA.py' -I '$infile' -P '$peps' |
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14 |
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15 #if $selmethod.method == 'withlabel' |
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16 #if $selmethod.advancefeature.columnselect == 'advancefeature' |
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17 --ClmPepID $selmethod.advancefeature.clmname |
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18 #end if |
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19 --SlcClassLabel '$selmethod.classlabel' |
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20 -M '$selmethod.method' |
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21 -F '$output2' |
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22 -S '$output3' |
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23 #end if |
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24 |
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25 #if $selmethod.method == 'withoutlabel' |
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26 #if $selmethod.advancefeature.columnselect == 'advancefeature' |
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27 --ClmPepID $selmethod.advancefeature.clmname |
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28 #end if |
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29 -M '$selmethod.method' |
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30 -O '$output1' |
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31 #end if |
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32 |
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33 && |
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34 |
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35 ls |
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36 |
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37 ]]></command> |
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38 |
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39 <inputs> |
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40 <param name="infile" type="data" label="Peptide data" format="tabular" argument= "--InFile1" help="Input tabular file"/> |
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41 <param name="peps" type="text" label="Peptide Column" argument= "--PeptideColumn" help="Peptide Column Name"/> |
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42 |
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43 <conditional name='selmethod' > |
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44 <param name="method" type="select" label="Method to convert data" argument="--Method" help="Split file if class labels are present" > |
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45 <option value="withoutlabel"> Convert Without Split </option> |
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46 <option value="withlabel" selected="true" >Split Data By Class Label</option> |
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47 </param> |
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48 |
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49 <when value="withlabel"> |
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50 <param name="classlabel" type="text" label="Column with the class label" value="Class_label" argument= "--SlcClassLabel" help="Select Class Label"/> |
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51 |
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52 <conditional name='advancefeature' > |
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53 <param name="columnselect" type="select" label="Peptide ID Column" argument="--Method" help="Split file if class labels are present" > |
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54 <option value="advancefeature" > Add Peptide ID Column Name </option> |
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55 <option value="normalfeature" selected="true"> No Peptide ID Column </option> |
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56 </param> |
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57 |
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58 <when value="advancefeature"> |
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59 <param name="clmname" type="text" label="Column name with peptide IDs" argument= "--ClmPepID" help="Select Peptide ID Column"/> |
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60 </when> |
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61 <when value="normalfeature"/> |
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62 </conditional> |
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63 </when> |
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64 |
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65 <when value="withoutlabel"> |
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66 <conditional name='advancefeature' > |
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67 <param name="columnselect" type="select" label="Column name with peptide IDs" argument="--Method" help="Split file if class labels are present" > |
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68 <option value="advancefeature" > Add Peptide ID Column Name </option> |
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69 <option value="normalfeature" selected="true"> No Peptide ID Column </option> |
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70 </param> |
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71 |
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72 <when value="advancefeature"> |
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73 <param name="clmname" type="text" label="Select Peptide ID Column" argument= "--ClmPepID" help="Select Peptide ID Column"/> |
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74 </when> |
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75 <when value="normalfeature"/> |
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76 |
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77 </conditional> |
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78 </when> |
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79 </conditional> |
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80 </inputs> |
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81 |
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82 <outputs> |
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83 <data name='output1' format='fasta' label="${tool.name} on $on_string -(fasta)" > |
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84 <filter>selmethod['method'] == "withoutlabel"</filter> |
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85 </data> |
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86 |
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87 <data name='output2' format='fasta' label="${tool.name} on $on_string - Second (fasta)"> |
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88 <filter>selmethod['method'] == "withlabel"</filter> |
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89 </data> |
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90 |
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91 <data name='output3' format='fasta' label="${tool.name} on $on_string - First (fasta)" > |
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92 <filter>selmethod['method'] == "withlabel"</filter> |
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93 </data> |
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94 </outputs> |
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95 |
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96 <tests> |
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97 |
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98 <test> |
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99 <param name="infile" value="test.tsv"/> |
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100 <param name="method" value="withoutlabel" /> |
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101 <param name="peps" value="Peptides" /> |
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102 <output name="output1" file="out.fasta" /> |
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103 </test> |
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104 |
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105 <test> |
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106 <param name="infile" value="test.tsv"/> |
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107 <param name="method" value="withlabel" /> |
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108 <param name="peps" value="Peptides" /> |
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109 <param name="withlabel" value="Class_label" /> |
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110 <output name="output2" file="1.fasta" /> |
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111 <output name="output3" file="2.fasta" /> |
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112 </test> |
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113 |
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114 </tests> |
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115 <help><![CDATA[ |
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116 .. class:: infomark |
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117 |
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118 **What it does** |
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119 |
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120 This tool converts tabular files into fasta file and split fasta file on the basis of the class label. |
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121 |
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122 ----- |
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123 |
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124 **Inputs** |
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125 * **Method to convert data** Converts tabular data into fasta with or without splitting based on the availability of class labels. |
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126 |
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127 * **Column with the class label** Enter the column name with the class labels. |
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128 |
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129 * **Peptide data** Enter the column name with peptides. |
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130 |
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131 * **Peptide ID Column** Enter the column name with peptide IDs. |
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132 |
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133 ----- |
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134 |
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135 **Outputs** |
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136 * Returns fasta file.]]></help> |
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137 <citations> |
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138 <citation type="bibtex"> |
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139 @misc{PDAUGGITHUB, |
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140 author = {Joshi, Jayadev and Blankenberg, Daniel}, |
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141 year = {2020}, |
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142 title ={PDAUG - a Galaxy based toolset for peptide library analysis, visualization, and machine learning modeling}, |
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143 publisher = {GitHub}, |
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144 journal = {GitHub repository}, |
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145 url = |
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146 {https://github.com/jaidevjoshi83/pdaug.git}, |
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147 } |
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148 </citation> |
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149 </citations> |
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150 </tool> |
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151 |
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152 |
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153 |