Mercurial > repos > matces > carpet_toolsuite
annotate carpet-src-1/tools/CARPET/PeakPeaker.xml @ 0:cdd489d98766
Migrated tool version 1.0.0 from old tool shed archive to new tool shed repository
author | matces |
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date | Tue, 07 Jun 2011 16:50:41 -0400 |
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1 <tool id="Find peaks" name="PeakPicker" version="1.0.0"> |
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2 <description>Finding Peaks in a GFF Nimblegen File</description> |
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3 <command interpreter="perl">PeakPeaker2.pl --in $input --out $output --t $type --dist_peaks $dist_peaks --col3 $col3 --log $log --perc $perc --num $num --dist $dist --w $window --f_pv $output2</command> |
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4 <inputs> |
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5 <param format="tabular" name="input" type="data" label="Source file"/> |
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6 <param name="col3" size="20" type="text" value="Analisys" label="Analisys name"/> |
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7 <param name="type" type="select" label="Analysis type"> |
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8 <option value="p">p-value</option> |
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9 <option value="s">score</option> |
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10 </param> |
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11 <param name="perc" size="4" type="text" value="0.95" label="percentile value"/> |
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12 <param name="log" size="2" type="text" value="7" label="-log p-value cutoff"/> |
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13 <param name="num" size="2" type="text" value="3" label="minimal number of probes"/> |
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14 <param name="dist" size="4" type="text" value="100" label="max distance between two probes"/> |
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15 <param name="dist_peaks" size="4" type="text" value="200" label="min distance between two peaks"/> |
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16 <param name="window" size="4" type="text" value="500" label="window length"/> |
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17 </inputs> |
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18 <outputs> |
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19 <data format="bed" name="output" /> |
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20 <data format="gff" name="output2" /> |
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21 </outputs> |
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22 |
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23 |
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24 <help> |
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25 .. class:: infomark |
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26 |
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27 **What it does** |
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28 |
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29 This tool utilizes NimbleGen ratio files in gff format as INPUT FILE and provides a table of the computed peaks in the same gff format. |
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30 |
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31 -------- |
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32 |
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33 **Parameters:** |
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34 |
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35 - **Analysis type:** |
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36 - **p-value** analysis performs peaks determination based on p-value inference |
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37 - **score** analysis performs peaks determination based on a scoring system |
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38 - **Percentile value:** it is used to calculate the threshold rate based on dataset distribution to filter out background |
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39 - **-log p-value cutoff:** (required only for p-value based analysis) cutoff integer to be used to identify a significant peak |
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40 - **minimal # of probes:** minimal number of consecutive probes used to define a peak |
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41 - **max distance 2 probes:** greatest nucleotide distance (bp) between two probes that allow to consider two probes as adjacent |
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42 - **min distance 2 peaks:** minimum nucleotide distance (bp) required to consider two peaks as separate entities |
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43 - **window length:** length in bp of the window used for statistical analysis |
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44 |
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45 -------- |
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46 |
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47 |
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48 **INPUT FILE** |
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49 |
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50 Nimblegen gives you back a GFF file with the coordinates of each probe and the normalized signal value --> log2(Cy5/Cy3). |
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51 |
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52 Click here_ to download a GFF file example. |
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53 |
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54 .. _here: /static/example_file/GFF_file_norm.txt.zip |
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55 |
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56 Example of Nimblegen GFF format:: |
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57 |
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58 chr19 Nimblegen tiling_array 100000 1000051 -1.2 + . probe_name |
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59 chr19 Nimblegen tiling_array 100100 1000151 2.9 + . probe_name |
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60 |
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61 .. class:: warningmark |
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62 |
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63 The sixth column **must** contain the normalized log2(cy5/cy3) that Nimblegen gives you back after the experiment |
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64 |
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65 |
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66 --------- |
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67 |
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68 .. class:: infomark |
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69 |
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70 **How does it work?** |
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71 |
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72 **Two assumptions:** |
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73 |
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74 |
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75 - data are enriched for signal in the positive direction ("one-tailed") |
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76 - a peak (or enriched region) is represented by multiple probes that are genomically located close to each other |
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77 |
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78 |
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79 **Statistical approach: sliding window** |
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80 |
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81 |
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82 A window centered at each probe of the array moves probe by probe. In each window Chi squared is calculated |
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83 |
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84 |
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85 .. image:: static/images/CARPET/chi_squared.png |
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86 |
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87 |
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88 by building a contingency table for each probe, and a p-value is assigned |
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89 |
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90 |
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91 .. image:: static/images/CARPET/centered.png |
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92 |
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93 |
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94 **"-log2(p-value)"** is associated to each probe. This value takes in account the neighbouring probes effect. |
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95 This approach dramatically decreases the background signal. |
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96 |
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97 |
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98 .. image:: static/images/CARPET/background.png |
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99 |
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100 |
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101 New values are considered to defined an enriched locus |
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102 |
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103 |
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104 .. image:: static/images/CARPET/pvalue.png |
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105 |
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106 |
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107 Moreover a score is calculated taking into account the length and the raw signal of the peak |
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108 |
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109 |
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110 .. image:: static/images/CARPET/pvalue_score.png |
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111 |
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112 |
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113 Output is a gff file |
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114 |
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115 |
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116 .. image:: static/images/CARPET/table_pv.png |
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117 |
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118 |
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119 **NON Statistical approach: score** |
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120 |
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121 |
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122 Only the raw signal of each probe is considered. Only the regions with a number of consecutive probes above the defined threshold are selected |
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123 |
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124 |
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125 .. image:: static/images/CARPET/score.png |
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126 |
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127 |
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128 Output is a GFF file |
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129 |
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131 .. image:: static/images/CARPET/table_score.png |
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132 |
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133 |
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134 and a GFF file with the p-values associate to each probe |
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135 |
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136 </help> |
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137 |
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138 </tool> |
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139 |