annotate diffbind.xml @ 10:d7725c5596ab draft

planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/diffbind commit f970dcbe9d0e4c3714b1db74c404ea34223cf8ed
author iuc
date Tue, 20 Mar 2018 04:51:25 -0400
parents 6171163112de
children 4c7ab9995f9e
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1 <tool id="diffbind" name="DiffBind" version="2.6.6.0">
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2 <description> differential binding analysis of ChIP-Seq peak data</description>
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3 <requirements>
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4 <requirement type="package" version="2.6.6">bioconductor-diffbind</requirement>
9
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5 <requirement type="package" version="1.20.0">r-getopt</requirement>
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6 </requirements>
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7 <stdio>
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8 <regex match="Execution halted"
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9 source="both"
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10 level="fatal"
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11 description="Execution halted." />
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12 <regex match="Input-Error 01"
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13 source="both"
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14 level="fatal"
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15 description="Error in your input parameters: Make sure you only apply factors to selected samples." />
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16 <regex match="Error in"
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17 source="both"
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18 level="fatal"
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19 description="An undefined error occured, please check your intput carefully and contact your administrator." />
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20 </stdio>
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21 <version_command><![CDATA[
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22 echo $(R --version | grep version | grep -v GNU)", DiffBind version" $(R --vanilla --slave -e "library(DiffBind); cat(sessionInfo()\$otherPkgs\$DiffBind\$Version)" 2> /dev/null | grep -v -i "WARNING: ")
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23 ]]></version_command>
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24 <command><![CDATA[
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25 ## seems that diffbind also needs file extensions to work properly
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26 #set $counter = 1
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27 #for $sample in $samples:
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28 ln -s $sample.bamreads #echo str($counter) + "_bamreads.bam"# &&
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29 ln -s ${sample.bamreads.metadata.bam_index} #echo str($counter) + "_bamreads.bai"# &&
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30 #if str( $sample.bamcontrol ) != 'None':
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31 ln -s $sample.bamcontrol #echo str($counter) + "_bamcontrol.bam"# &&
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32 ln -s ${sample.bamcontrol.metadata.bam_index} #echo str($counter) + "_bamcontrol.bai"# &&
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33 #end if
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34 #set $counter = $counter + 1
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35 #end for
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36
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37 Rscript '$__tool_directory__/diffbind.R'
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38 -i $infile
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39 -o '$outfile'
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40 -t $th
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41 -f $out.format
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42 -p '$plots'
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43
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44 #if $out.binding_matrix:
9
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45 -b
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46 #end if
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47
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48 #if $out.rdata:
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49 -r
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50 #end if
9
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51 ]]>
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52 </command>
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53 <configfiles>
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54 <configfile name="infile"><![CDATA[
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55 #set $counter = 1
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56 #for $sample in $samples:
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57 #if str( $sample.bamcontrol ) != 'None' and $counter == 1:
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58 SampleID,Tissue,Factor,Condition,Replicate,bamReads,bamControl,Peaks
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59 #elif $counter == 1:
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60 SampleID,Tissue,Factor,Condition,Replicate,bamReads,Peaks
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61 #end if
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62 #if str( $sample.bamcontrol ) != 'None':
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63 $sample.sample_id,$sample.tissue,$sample.factor,$sample.condition,$sample.replicate,#echo str($counter) + '_bamreads.bam'#,#echo str($counter) + '_bamcontrol.bam'#,$sample.peaks
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64 #else:
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65 $sample.sample_id,$sample.tissue,$sample.factor,$sample.condition,$sample.replicate,#echo str($counter) + '_bamreads.bam'#,$sample.peaks
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66 #end if
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67 #set $counter = $counter + 1
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68 #end for]]></configfile>
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69 </configfiles>
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70 <inputs>
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71 <repeat name="samples" title="Samples" min="4">
9
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72 <param name="sample_id" type="text" value="Sample ID" label="Specify a sample id" help="e.g. BT474.1-" />
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73 <param name="tissue" type="text" value="Tissue" label="Specify the tissue" help="e.g. BT474" />
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74 <param name="factor" type="text" value="Factor Name" label="Specify a factor name" help="e.g. ER" />
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75 <param name="condition" type="text" value="Condition" label="Specify the condition" help="e.g. Resistent" />
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76 <param name="replicate" type="integer" value="1" label="Specify the replicate number" help="e.g. 1" />
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77 <param name="bamreads" type="data" format="bam" label="Read BAM file" help="Specify the Read BAM file, used for Peak calling."/>
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78 <param name="bamcontrol" type="data" format="bam" optional="True" label="Control BAM file" help="If specifying a control BAM file for this sample, then all samples are required to specify one."/>
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79 <param name="peaks" type="data" format="bed" label="Peak file" help="Result of your Peak calling experiment."/>
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80 </repeat>
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81 <param name="th" type="float" value="1" min="0" max="1"
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82 label="FDR Threshold"
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83 help="Significance threshold; all sites with FDR less than or equal to this value will be included in the report. A value of 1 will include all binding sites in the report. Default: 1"/>
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84
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85 <!-- Output Options -->
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86 <section name="out" expanded="false" title="Output Options">
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87 <param name="format" type="select" label="Output Format">
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88 <option value="bed">BED</option>
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89 <option value="gff">GFF</option>
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90 <option value="wig">WIG</option>
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91 </param>
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92 <param name="pdf" type="boolean" truevalue="True" falsevalue="" checked="False" label="Visualising the analysis results" help="output an additional PDF file" />
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93 <param name="binding_matrix" type="boolean" truevalue="True" falsevalue="" checked="False" label="Output binding affinity matrix?" help="Output a table of the binding scores" />
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94 <param name="rdata" type="boolean" truevalue="True" falsevalue="" checked="False" label="Output RData file?" help="Output all the data used by R to construct the plots and tables, can be loaded into R. Default: No">
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95 </param>
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96 </section>
9
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97 </inputs>
10
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98
9
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99 <outputs>
10
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100 <data name="outfile" format="bed" label="${tool.name} on ${on_string}: Differentially bound sites">
9
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101 <change_format>
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102 <when input="format" value="wig" format="wig" />
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103 <when input="format" value="gff" format="gff" />
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104 </change_format>
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105 </data>
10
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106 <data name="plots" format="pdf" label="${tool.name} on ${on_string}: Plots">
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107 <filter>out['pdf']</filter>
9
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108 </data>
10
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109 <data name="binding_matrix" format="tabular" from_work_dir="bmatrix.tab" label="${tool.name} on ${on_string}: Binding matrix">
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110 <filter>out['binding_matrix']</filter>
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111 </data>
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112 <data name="rdata" format="rdata" from_work_dir="DiffBind_analysis.RData" label="${tool.name} on ${on_string}: RData file">
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113 <filter>out['rdata']</filter>
9
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114 </data>
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115 </outputs>
10
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116
9
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117 <tests>
10
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118 <test expect_num_outputs="4">
9
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119 <repeat name="samples">
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120 <param name="sample_id" value="BT4741" />
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121 <param name="tissue" value="BT474" />
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122 <param name="factor" value="ER" />
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123 <param name="condition" value="Resistant" />
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124 <param name="replicate" value="1" />
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125 <param name="bamreads" ftype="bam" value="BT474_ER_1.bam" />
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126 <param name="peaks" ftype="bed" value="BT474_ER_1.bed.gz" />
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127 </repeat>
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128 <repeat name="samples">
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129 <param name="sample_id" value="BT4742" />
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130 <param name="tissue" value="BT474" />
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131 <param name="factor" value="ER" />
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132 <param name="condition" value="Resistant" />
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133 <param name="replicate" value="2" />
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134 <param name="bamreads" ftype="bam" value="BT474_ER_2.bam" />
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135 <param name="peaks" ftype="bed" value="BT474_ER_2.bed.gz" />
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136 </repeat>
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137 <repeat name="samples">
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138 <param name="sample_id" value="MCF71" />
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139 <param name="tissue" value="MCF7" />
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140 <param name="factor" value="ER" />
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141 <param name="condition" value="Responsive" />
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142 <param name="replicate" value="1" />
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143 <param name="bamreads" ftype="bam" value="MCF7_ER_1.bam" />
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144 <param name="peaks" ftype="bed" value="MCF7_ER_1.bed.gz" />
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145 </repeat>
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146 <repeat name="samples">
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147 <param name="sample_id" value="MCF72" />
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148 <param name="tissue" value="MCF7" />
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149 <param name="factor" value="ER" />
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150 <param name="condition" value="Responsive" />
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151 <param name="replicate" value="2" />
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152 <param name="bamreads" ftype="bam" value="MCF7_ER_2.bam" />
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153 <param name="peaks" ftype="bed" value="MCF7_ER_2.bed.gz" />
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154 </repeat>
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155 <param name="pdf" value="True" />
10
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156 <param name="binding_matrix" value="True" />
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157 <param name="rdata" value="True" />
9
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158 <output name="outfile" value="out_diffbind.bed" />
10
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159 <output name="plots" value="out_plots.pdf" compare="sim_size" />
9
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160 <output name="binding_matrix" value="out_binding.matrix" />
10
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161 <output name="rdata" value="DiffBind_analysis.RData" compare="sim_size"/>
9
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162 </test>
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163 </tests>
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164 <help><![CDATA[
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165
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166 .. class:: infomark
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167
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168 **What it does**
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169
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170 DiffBind_ is a `Bioconductor package`_ that provides functions for processing ChIP-Seq data enriched for genomic loci where specific
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171 protein/DNA binding occurs, including peak sets identified by ChIP-Seq peak callers and
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172 aligned sequence read datasets. It is designed to work with multiple peak sets simultaneously,
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173 representing different ChIP experiments (antibodies, transcription factor and/or histone
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174 marks, experimental conditions, replicates) as well as managing the results of multiple peak
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175 callers.
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176
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177 The primary emphasis of DiffBind is on identifying sites that are differentially bound
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178 between two sample groups. It includes functions to support the processing of peak sets,
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179 including overlapping and merging peak sets, counting sequencing reads overlapping intervals
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180 in peak sets, and identifying statistically significantly differentially bound sites based on
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181 evidence of binding affinity (measured by differences in read densities). To this end it uses
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182 statistical routines developed in an RNA-Seq context (primarily the Bioconductor packages
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183 edgeR and DESeq2). Additionally, the package builds on Rgraphics routines to provide a
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184 set of standardized plots to aid in binding analysis.
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185
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186 The `DiffBind User Guide`_ includes a brief overview of the processing flow, followed by four sections of
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187 examples: the first focusing on the core task of obtaining differentially bound sites based on
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188 affinity data, the second working through the main plotting routines, the third discussing the
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189 use of a blocking factor, and the fourth revisiting occupancy data (peak calls) in more detail,
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190 as well as comparing the results of an occupancy-based analysis with an affinity-based one.
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191 Finally, certain technical aspects of the how these analyses are accomplished are detailed.
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192
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193 Note DiffBind requires a minimum of four samples (two groups with two replicates each).
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194
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195 .. _DiffBind: https://bioconductor.org/packages/release/bioc/html/DiffBind.html
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196 .. _`Bioconductor package`: https://bioconductor.org/packages/release/bioc/html/DiffBind.html
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197 .. _`DiffBind User Guide`: https://bioconductor.org/packages/release/bioc/vignettes/DiffBind/inst/doc/DiffBind.pdf
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198
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199 -----
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200
9
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201 **Inputs**
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202
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203 DiffBind works primarily with peaksets, which are sets of genomic intervals representing
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204 candidate protein binding sites. Each interval consists of a chromosome, a start and end
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205 position, and usually a score of some type indicating confidence in, or strength of, the peak.
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206 Associated with each peakset are metadata relating to the experiment from which the peakset
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207 was derived. Additionally, files containing mapped sequencing reads (generally .bam files) can
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208 be associated with each peakset (one for the ChIP data, and optionally another representing
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209 a control sample)
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210
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211 **Sample Information**
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212
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213 You have to specify your sample information in the tool form above, where Condition contains the groups you want to compare.
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214
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215 Example:
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216
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217 ============= ========== ========== ============= =============
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218 **SampleID** **Tissue** **Factor** **Condition** **Replicate**
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219 ------------- ---------- ---------- ------------- -------------
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220 BT4741 BT474 ER Resistant 1
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221 BT4742 BT474 ER Resistant 2
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222 MCF71 MCF7 ER Responsive 1
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223 MCF72 MCF7 ER Responsive 2
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224 MCF73 MCF7 ER Responsive 3
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225 T47D1 T47D ER Responsive 1
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226 T47D2 T47D ER Responsive 2
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227 MCF7r1 MCF7 ER Resistant 1
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228 MCF7r2 MCF7 ER Resistant 2
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229 ZR751 ZR75 ER Responsive 1
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230 ZR752 ZR75 ER Responsive 2
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231 ============= ========== ========== ============= =============
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232
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233
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234 **Peak files**
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235
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236 Result of your Peak calling experiment in bed format, one file for each sample is required.
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237
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238 Example:
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239
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240 ======= ======= ======= =============== =======
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241 1 2 3 4 **5**
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242 ======= ======= ======= =============== =======
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243 chr18 215562 216063 MACS_peak_16037 56.11
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244 chr18 311530 312105 MACS_peak_16038 222.49
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245 chr18 356656 357315 MACS_peak_16039 92.06
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246 chr18 371110 372092 MACS_peak_16040 123.86
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247 chr18 395116 396464 MACS_peak_16041 1545.39
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248 chr18 399014 400382 MACS_peak_16042 1835.19
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249 chr18 499134 500200 MACS_peak_16043 748.32
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250 chr18 503518 504552 MACS_peak_16044 818.30
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251 chr18 531672 532274 MACS_peak_16045 159.30
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252 chr18 568326 569282 MACS_peak_16046 601.11
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253 ======= ======= ======= =============== =======
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254
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255 * BAM file which contains the mapped sequencing reads can be associated with each peakset
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256 * Control BAM file represents a control dataset and are optional, but have to specified for all when used.
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257
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258 -----
9
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259
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260 **Outputs**
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261
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262 This tool outputs
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263
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264 * differentially bound sites in BED, WIG or GFF format
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265
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266 Optionally, under **Output Options** you can choose to output
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267
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268 * a correlation heatmap plot
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269 * a binding affinity matrix
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270 * an RData file
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271
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272 **Differentially Bound Sites**
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273
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274 As output format you can choose BED, GFF, WIG.
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275
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276 Example - BED format:
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277
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278 ===== ====== ====== ===== ==== ==== ==== ==== ===== ======== ========
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279 1 2 3 4 5 6 7 8 9 10 **11**
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280 ===== ====== ====== ===== ==== ==== ==== ==== ===== ======== ========
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281 chr18 394600 396513 1914 * 7.15 7.89 5.55 2.35 7.06e-24 9.84e-21
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282 chr18 111567 112005 439 * 5.71 3.63 6.53 -2.89 1.27e-08 8.88e-06
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283 chr18 346464 347342 879 * 5 3.24 5.77 -2.52 6.51e-06 0.00303
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284 chr18 399014 400382 1369 * 7.62 8.05 7 1.04 1.04e-05 0.00364
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285 chr18 371110 372102 993 * 4.63 5.36 3.07 2.3 8.1e-05 0.0226
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286 ===== ====== ====== ===== ==== ==== ==== ==== ===== ======== ========
9
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287
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288 Columns contain the following data:
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289
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290 * **1st**: Chromosome name
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291 * **2nd**: Start position of site
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292 * **3rd**: End position of site
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293 * **4th**: Length of site
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294 * **5th**: Strand
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295 * **6th**: Mean read concentration over all the samples (the default calculation uses log2 normalized ChIP read counts with control read counts subtracted)
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296 * **7th**: Mean concentration over the first (e.g. Resistant) group
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297 * **8th**: Mean concentration over second (e.g. Responsive) group
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298 * **9th**: Fold shows the difference in mean concentrations between the two groups (e.g. Resistant - Responsive), with a positive value indicating increased binding affinity in the first group and a negative value indicating increased binding affinity in the second group.
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299 * **10th**: P-value confidence measure for identifying these sites as differentially bound
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300 * **11th**: a multiple testing corrected FDR p-value
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301
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302
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303 **Binding Affinity Matrix**
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304
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305 The final result of counting is a binding affinity matrix containing a (normalized) read count for each sample at every potential binding site. With this matrix, the samples can be re-clustered using affinity, rather than occupancy, data. The binding affinity matrix can be used for QC plotting as well as for subsequent
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306 differential analysis.
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307
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308 Example:
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309
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310 ====== ====== ====== ========== ========== ========= ====== ========= ====
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311 ID Tissue Factor Condition Treatment Replicate Caller Intervals FRiP
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312 ====== ====== ====== ========== ========== ========= ====== ========= ====
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313 BT4741 BT474 ER Resistant Full-Media 1 counts 2845 0.16
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314 BT4742 BT474 ER Resistant Full-Media 2 counts 2845 0.15
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315 MCF71 MCF7 ER Responsive Full-Media 1 counts 2845 0.27
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316 MCF72 MCF7 ER Responsive Full-Media 2 counts 2845 0.17
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317 MCF73 MCF7 ER Responsive Full-Media 3 counts 2845 0.23
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318 T47D1 T47D ER Responsive Full-Media 1 counts 2845 0.10
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319 T47D2 T47D ER Responsive Full-Media 2 counts 2845 0.06
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320 MCF7r1 MCF7 ER Resistant Full-Media 1 counts 2845 0.20
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321 MCF7r2 MCF7 ER Resistant Full-Media 2 counts 2845 0.13
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322 ZR751 ZR75 ER Responsive Full-Media 1 counts 2845 0.32
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323 ZR752 ZR75 ER Responsive Full-Media 2 counts 2845 0.22
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324 ====== ====== ====== ========== ========== ========= ====== ========= ====
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325
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326 -----
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327
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328 **More Information**
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329
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330 Generally, processing data with DiffBind involves five phases:
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331
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332 #. Reading in peaksets
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333 #. Occupancy analysis
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334 #. Counting reads
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335 #. Differential binding affinity analysis
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336 #. Plotting and reporting
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337
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338
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339 **Reading in peaksets**:
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340
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341 The first step is to read in a set of peaksets and associated
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342 metadata. Peaksets are derived either from ChIP-Seq peak callers, such as **MACS2**, or using some other criterion (e.g. genomic windows, or all the promoter regions
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343 in a genome). A single experiment can have more than
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344 one associated peakset; e.g. if multiple peak callers are used for comparison purposes
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345 each sample would have more than one line in the sample sheet. Once the peaksets
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346 are read in, a merging function finds all overlapping peaks and derives a single set of
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347 unique genomic intervals covering all the supplied peaks (a consensus peakset for the
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348 experiment).
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349
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350 **Occupancy analysis**:
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351
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352 Peaksets, especially those generated by peak callers, provide
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353 an insight into the potential occupancy of the protein being ChIPed for at specific
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354 genomic loci. After the peaksets have been loaded, it can be useful to perform some
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355 exploratory plotting to determine how these occupancy maps agree with each other,
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356 e.g. between experimental replicates (re-doing the ChIP under the same conditions),
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357 between different peak callers on the same experiment, and within groups of samples
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358 representing a common experimental condition. DiffBind provides functions to enable
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359 overlaps to be examined, as well as functions to determine how well similar samples
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360 cluster together. Beyond quality control, the product of an occupancy analysis may be
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361 a consensus peakset, representing an overall set of candidate binding sites to be used
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362 in further analysis.
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363
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364 **Counting reads**:
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365
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366 Once a consensus peakset has been derived, DiffBind can use the
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367 supplied sequence read files to count how many reads overlap each interval for each
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368 unique sample. The peaks in the consensus peakset may be re-centered and trimmed
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369 based on calculating their summits (point of greatest read overlap) in order to provide
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370 more standardized peak intervals. The final result of counting is a binding affinity matrix
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371 containing a (normalized) read count for each sample at every potential binding site.
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372 With this matrix, the samples can be re-clustered using affinity, rather than occupancy,
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373 data. The binding affinity matrix is used for QC plotting as well as for subsequent
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374 differential analysis.
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375
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376 **Differential binding affinity analysis**:
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377
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378 The core functionality of DiffBind is the
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379 differential binding affinity analysis, which enables binding sites to be identified that
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380 are statistically significantly differentially bound between sample groups. To accomplish
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381 this, first a contrast (or contrasts) is established, dividing the samples into groups to
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382 be compared. Next the core analysis routines are executed, by default using DESeq2 .
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383 This will assign a p-value and FDR to each candidate binding site indicating confidence
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384 that they are differentially bound.
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385
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386 **Plotting and reporting**:
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387
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388 Once one or more contrasts have been run, DiffBind provides
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389 a number of functions for reporting and plotting the results. MA plots give an
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390 overview of the results of the analysis, while correlation heatmaps and PCA plots show
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391 how the groups cluster based on differentially bound sites. Boxplots show the distribution
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392 of reads within differentially bound sites corresponding to whether they gain or
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393 lose affinity between the two sample groups. A reporting mechanism enables differentially
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394 bound sites to be extracted for further processing, such as annotation, motif, and
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395 pathway analyses. *Note that currently only the correlation plot is implemented in this Galaxy tool.*
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396
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397 -----
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398
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399 **References**
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400
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401 DiffBind Authors: Rory Stark, Gordon Brown (2011)
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402 Wrapper authors: Bjoern Gruening, Pavankumar Videm
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403
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404 ]]>
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405 </help>
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406 <citations>
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407 <citation type="doi">doi:10.1038/nature10730</citation>
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408 </citations>
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409 </tool>