annotate macs2_bdgcmp.xml @ 18:640d3af5d833 draft

"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/macs2 commit e8307adcc6ee9245fa2bb9ecb6de1cbe008dc2c3"
author iuc
date Sat, 02 Apr 2022 21:37:38 +0000
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640d3af5d833 "planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/macs2 commit e8307adcc6ee9245fa2bb9ecb6de1cbe008dc2c3"
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1 <tool id="macs2_bdgcmp" name="MACS2 bdgcmp" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="20.01">
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2 <description>Deduct noise by comparing two signal tracks in bedGraph</description>
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3 <expand macro="bio_tools"/>
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4 <macros>
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5 <import>macs2_macros.xml</import>
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6 </macros>
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7 <expand macro="requirements" />
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8 <expand macro="stdio" />
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9 <expand macro="version_command" />
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10 <command><![CDATA[
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11 @home_dir@
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12 macs2 bdgcmp
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13 -t '${ infile_treatment }'
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14 -c '${ infile_control }'
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16 -m '${ bdgcmp_options.bdgcmp_options_selector }'
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17 #if str($bdgcmp_options.bdgcmp_options_selector) in ['FE', 'logFE', 'logLR']:
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18 -p '${ bdgcmp_options.pseudocount }'
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19 #end if
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20 -o '${ outfile }'
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21 ]]></command>
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22 <inputs>
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23 <param name="infile_treatment" type="data" format="bedgraph" label="Treatment bedGraph file" />
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24 <param name="infile_control" type="data" format="bedgraph" label="Control bedGraph file" />
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25
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26 <conditional name="bdgcmp_options">
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27 <param name="bdgcmp_options_selector" type="select" label="Method to use while calculating a score in any bin by comparing treatment value and control value" help="Available choices are: ppois, qpois, subtract, logFE, logLR, and slogLR. They represent Poisson Pvalue (-log10(pvalue) form) using control as lambda and treatment as observation, q-value through a BH process for poisson pvalues, subtraction from treatment, linear scale fold enrichment, log10 fold enrichment(need to set pseudocount), log10 likelihood between ChIP-enriched model and open chromatin model(need to set pseudocount), symmetric log10 likelihood between two ChIP-enrichment models, or maximum value between the two tracks. Default=ppois (--method).">
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28 <option value="ppois" selected="true">Poisson pvalue (-log10) using control as lambda and treatment as observation (ppois)</option>
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29 <option value="qpois">q-value through a BH process for poisson pvalues (qpois)</option>
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30 <option value="subtract">subtraction from treatment (subtract)</option>
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31 <option value="logFE">log10 fold enrichment (logFE)</option>
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32 <option value="FE">linear scale fold enrichment (FE)</option>
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33 <option value="logLR">log10 likelihood between ChIP-enriched model and open chromatin model (logLR)</option>
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34 <option value="slogLR">symmetric log10 likelihood between two ChIP-enrichment models (slogLR)</option>
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35 </param>
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36 <when value="FE">
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37 <param name="pseudocount" type="float" label="Set pseudocount" value="0.0" help="The count will be applied after normalization of sequencing depth. Default=0.0 (no pseudocount is applied)."/>
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38 </when>
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39 <when value="logLR">
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40 <param name="pseudocount" type="float" label="Set pseudocount" value="0.0" help="The count will be applied after normalization of sequencing depth. Default=0.0 (no pseudocount is applied)."/>
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41 </when>
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42 <when value="logFE">
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43 <param name="pseudocount" type="float" label="Set pseudocount" value="0.0" help="The count will be applied after normalization of sequencing depth. Default=0.0 (no pseudocount is applied)."/>
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44 </when>
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45 <when value="ppois"/>
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46 <when value="qpois"/>
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47 <when value="subtract"/>
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48 <when value="slogLR"/>
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49 </conditional>
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50 </inputs>
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51 <outputs>
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52 <data name="outfile" format="bedgraph" label="${tool.name} on ${on_string}" />
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53 </outputs>
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54 <tests>
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55 <test>
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56 <param name="infile_control" value="bdgcmp_input_control.bdg" ftype="bedgraph"/>
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57 <param name="infile_treatment" value="bdgcmp_input_treatment.bdg" ftype="bedgraph"/>
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58 <param name="bdgcmp_options_selector" value="ppois"/>
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59 <output name="outfile" file="bdgcmp_output.bdg"/>
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60 </test>
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61 </tests>
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62 <help>
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63 <![CDATA[
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64 **What it does**
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65
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66 This is **bdgcmp** utility from the MACS2_ Package. It is designed to deduct noise by comparing two signal tracks in bedGraph.
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67
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68 .. _MACS2: https://github.com/taoliu/MACS
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70 @citation@
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71 ]]>
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72 </help>
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73 <expand macro="citations" />
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74 </tool>