Mercurial > repos > timpalpant > java_genomics_toolkit
diff galaxy-conf/ValueDistribution.xml @ 20:9d56b5b85740 draft
Reuploaded to see if tools get loaded correctly this time.
author | timpalpant |
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date | Fri, 15 Jun 2012 15:10:26 -0400 |
parents | |
children | b43c420a6135 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/galaxy-conf/ValueDistribution.xml Fri Jun 15 15:10:26 2012 -0400 @@ -0,0 +1,53 @@ +<tool id="WigValueDistribution" name="Compute the value distribution" version="1.1.0"> + <description>of a (Big)Wig file</description> + <command interpreter="sh">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>