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PAVED- A Software suite for  the analysis of epigenome-derived next generation sequencing data

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PAVED Package  

Example Data

Normalize a  .depth file by using average coverage of each chromosome

The utility readDepthNormalization normalizes a coverage file using its average coverage value.

Prerequisites

1) .depth file generated using  findReadDepth or  findFragmentDepth utility  in PAVED

How to run it?

Type java -jar PAVED.jar readDepthNormalization -h to see list of parameters

readDepthNormalization utility takes as input a .depth file and normalizes it using average coverage value of each chromosome

Run the utility as follows:

java -jar C:\Britta\manuscript\Analysis\PAVED.jar readDepthNormalization -i C:\Britta\manuscript\Analysis\data\MNAse\normalizedData\MNAseRep2Chr5.depth -o C:\Britta\manuscript\Analysis\data\MNAse\normalizedDataMNAseRep2Chr5Normalized.depth -j C:\Britta\manuscript\Analysis\data\MNAse\normalizedData\MNAseRep2Chr5.covPerChr


Here, "
C:\Britta\manuscript\Analysis\" is the location where the jar file is present on the local disk, -i is the input depth file, -j is the input coverage per chromosome file generated using findAverageCoveragePerChromosome utility in PAVED and -o is the output normalized file