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1 <tool id="PCA_plot" name="PCA_plot">
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2 <description>Plottool for Principal Component </description>
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3 <command interpreter="Rscript">PCA_plot.R $input "$title" "$x_label" "$y_label" $x_column $y_column $names $output</command>
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4 <inputs>
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5 <param name="input" type="data" format="csv" label="PCA coordinates" />
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6 <param name = "title" size = "30" type = "text" value = "" label = "Main Title"/>
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7 <param name = "x_label" size = "30" type = "text" value = "" label = "x axis label"/>
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8 <param name = "y_label" size = "30" type = "text" value = "" label = "y axis label"/>
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9 <param name = "x_column" size = "2" type = "integer" value = "1" label = "pca x axis"/>
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10 <param name = "y_column" size = "2" type = "integer" value = "2" label = "pca y axis"/>
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11 <param name = "names" type = "data" format = "csv" label = "data names"/>
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12 </inputs>
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13 <outputs>
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14 <data format="png" name="output" />
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15 </outputs>
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16
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17
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18 <help>
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19 **Function**
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20
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21 Plottool for plotting of Principal Components
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22
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23 **Input file**
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24
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25 Principal Components coordinates (csv format)
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26
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27 sample names (csv format)
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28
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29 **Tip**
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30
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31 Use **PCA** to generate Principal Components
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32
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33 Use the sample names of **DtaConverter** or create your own 'sample name file' in .csv format
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34 </help>
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35
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36 </tool>
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