Mercurial > repos > timpalpant > java_genomics_toolkit
annotate galaxy-conf/WaveletTransform.xml @ 25:b43c420a6135 draft default tip
Incorporate fix: https://github.com/timpalpant/java-genomics-toolkit/commit/9a6c61b7c6b8d85a1cd3f595eed657a537b85dc9
author | timpalpant |
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date | Sat, 09 Feb 2019 14:02:24 -0500 |
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1 <tool id="WaveletTransform" name="Wavelet analysis" version="1.0.0"> |
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2 <description>across a genomic interval</description> |
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3 <command interpreter="bash">galaxyToolRunner.sh ngs.WaveletTransform -i $input -w $wavelet --chr $chr --start $start --stop $stop --min $min --max $max --step $N -o $output</command> |
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4 <inputs> |
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5 <param format="wig,bigwig" name="input" type="data" label="Sequencing data" /> |
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6 <param format="tabular" name="wavelet" type="data" label="Wavelet" /> |
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7 <param name="chr" type="text" label="Chromosome" /> |
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8 <param name="start" type="integer" value="1" label="Start base pair" /> |
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9 <param name="stop" type="integer" value="1000" label="Stop base pair" /> |
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10 <param name="min" type="integer" value="10" label="Minimum wavelet size (bp)" /> |
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11 <param name="max" type="integer" value="400" label="Maximum wavelet size (bp)" /> |
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12 <param name="N" type="integer" value="1" label="Scaling step size (bp)" /> |
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13 </inputs> |
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14 <outputs> |
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15 <data format="tabular" name="output" /> |
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16 </outputs> |
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17 |
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18 <help> |
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19 |
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20 This tool will perform a Wavelet_ scaling_ analysis on an interval of genomic data. For each base pair in the interval, the similarity (correlation) is calculated between the data and the wavelet over a range of scales. This can be used to identify high-frequency and low-frequency features in the data. The output is a matrix in matrix2png format that can be used to generate a heatmap: along the x-axis (columns) are the base pairs in the interval, along the y-axis (rows) are the correlation coefficients for each Wavelet size, with the largest Wavelet scale at the top and the smallest scale at the bottom. |
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21 |
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22 .. _Wavelet: http://en.wikipedia.org/wiki/Wavelet |
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23 |
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24 .. _scaling: http://en.wikipedia.org/wiki/Scaleogram |
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25 |
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26 ----- |
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27 |
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28 **Syntax** |
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29 |
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30 - **Input data** is the genomic data on which to compute the Wavelet scaling analysis. |
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31 - **Wavelet** a single column of values representing a discrete Wavelet. |
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32 - **Chromosome** a locus in the genome |
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33 - **Start base pair** a locus in the genome |
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34 - **Stop base pair** a locus in the genome |
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35 - **Minimum wavelet size** the smallest Wavelet to analyze |
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36 - **Minimum wavelet size** the largest Wavelet to analyze |
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37 - **Scaling step size** the step size for the range of wavelet scales. The provided wavelet will be scaled to each size in the set min:step:max by interpolating the provided wavelet. |
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38 |
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39 </help> |
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40 </tool> |