Mercurial > repos > timpalpant > java_genomics_toolkit
view galaxy-conf/ValueDistribution.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 |
parents | 9d56b5b85740 |
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<tool id="WigValueDistribution" name="Compute the value distribution" version="1.1.0"> <description>of a (Big)Wig file</description> <command interpreter="bash">galaxyToolRunner.sh wigmath.ValueDistribution -i $input #if str( $min ) != '' --min $min #end if #if str( $max ) != '' --max $max #end if -n $bins -o $output </command> <inputs> <param format="bigwig,wig" name="input" type="data" label="(Big)Wig file" /> <param name="min" type="float" optional="true" label="Minimum bin value (optional)" /> <param name="max" type="float" optional="true" label="Maximum bin value (optional)" /> <param name="bins" type="integer" value="40" label="Number of bins" /> </inputs> <outputs> <data format="txt" name="output" /> </outputs> <help> This tool computes a histogram of the values in a Wig file, as well as the moments of the distribution. ----- **Syntax** - **Input data** is the genomic data used to compute the histogram. - **Minimum bin value** is the smallest bin. If unset, it is equal to the minimum value in the input data - **Maximum bin value** is the largest bin. If unset, it is equal to the maximum value in the input data - **Number of bins** is the number of bins to use. The bin size will be equal to (max - min) / (# bins). ----- **Output** The output is in 2-column tabular format, where the first column represents the lower edge of a bin inteval and the second column represents the number of values that fell in that bin. For example if the **minimum bin value** is 0, the **maximum bin value** is 0.3, and the **number of bins** is 3, then the following output might be produced :: bin count <0 3 0 1 0.1 10 0.2 4 >0.3 12 where there were 3 values in (-inf, 0), 1 value in [0, 0.1), 10 values in [0.1, 0.2), 4 values in [0.2, 0.3), and 12 values in [0.3, inf). </help> </tool>