1 | <tool id="Count1" name="Count"> |
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2 | <description>occurrences of each record</description> |
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3 | <command interpreter="python">uniq.py -i $input -o $out_file1 -c "$column" -d $delim</command> |
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4 | <inputs> |
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5 | <param name="input" type="data" format="tabular" label="from query" help="Query missing? See TIP below"/> |
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6 | <param name="column" type="data_column" data_ref="input" multiple="True" numerical="False" label="Count occurrences of values in column(s)" help="Multi-select list - hold the appropriate key while clicking to select multiple columns" /> |
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7 | <param name="delim" type="select" label="Delimited by"> |
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8 | <option value="T">Tab</option> |
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9 | <option value="Sp">Whitespace</option> |
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10 | <option value="Dt">Dot</option> |
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11 | <option value="C">Comma</option> |
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12 | <option value="D">Dash</option> |
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13 | <option value="U">Underscore</option> |
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14 | <option value="P">Pipe</option> |
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15 | </param> |
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16 | </inputs> |
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17 | <outputs> |
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18 | <data format="tabular" name="out_file1" /> |
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19 | </outputs> |
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20 | <tests> |
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21 | <test> |
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22 | <param name="input" value="1.bed"/> |
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23 | <output name="out_file1" file="uniq_out.dat"/> |
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24 | <param name="column" value="1"/> |
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25 | <param name="delim" value="T"/> |
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26 | </test> |
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27 | </tests> |
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28 | <help> |
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29 | |
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30 | .. class:: infomark |
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31 | |
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32 | **TIP:** If your data is not TAB delimited, use *Text Manipulation->Convert* |
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33 | |
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34 | ----- |
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35 | |
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36 | **Syntax** |
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37 | |
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38 | This tool counts occurrences of unique values in selected column(s). |
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39 | |
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40 | - If multiple columns are selected, counting is performed on each unique group of all values in the selected columns. |
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41 | - The first column of the resulting query will be the count of unique values in the selected column(s) and will be followed by each value. |
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42 | |
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43 | ----- |
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44 | |
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45 | **Example** |
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46 | |
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47 | - Input file:: |
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48 | |
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49 | chr1 10 100 gene1 |
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50 | chr1 105 200 gene2 |
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51 | chr1 205 300 gene3 |
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52 | chr2 10 100 gene4 |
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53 | chr2 1000 1900 gene5 |
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54 | chr3 15 1656 gene6 |
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55 | chr4 10 1765 gene7 |
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56 | chr4 10 1765 gene8 |
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57 | |
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58 | - Counting unique values in column c1 will result in:: |
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59 | |
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60 | 3 chr1 |
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61 | 2 chr2 |
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62 | 1 chr3 |
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63 | 2 chr4 |
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64 | |
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65 | - Counting unique values in the grouping of columns c2 and c3 will result in:: |
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66 | |
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67 | 2 10 100 |
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68 | 2 10 1765 |
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69 | 1 1000 1900 |
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70 | 1 105 200 |
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71 | 1 15 1656 |
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72 | 1 205 300 |
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73 | |
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74 | </help> |
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75 | </tool> |
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