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This pipeline is used for ChIP-seq peak calling with no controls based on Bayesian model.

Section 1  Likelihood model
>>> bootstrap_sampling.hg18.R
  Randomly sampling 10000 regions across the largest length of chromosome (usually the chr1) based on R code.


>>> randomReadsCount.v3.hg18.pl and likelihood_Model.R
  This code is used to generate random regions as background distribution (Likelihood model)



Section 2  uniquely mapping
  Read alignment is accomplished based on SOAP and Bowtie programs.

>>> soap2Bed.pl
  Extracting uniquely mapped reads from the SOAP alignment


>>> bowtie2UniqueBed.pl
  Extracting uniquely mapped reads from the Bowtie alignment



Section 3  Peak calling
>>> density_CHIPseq.V3.pl
  Calculating CHIP-seq Peak Density


>>>  peakWig_Bayes.pl  and  peakBayes_Filter.pl
	 Peak calling and filtering





Source: Readme, updated 2011-10-13