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Merge covBam with covBamExons.
With the new implementation of RNA-seq coverage calculation, it has become possible to calculate coverage for ChIP-seq using the same code. This change reduces our burden of maintaining two functions that often need to be modified together. The merge introduces paired-end functionality into ChIP-seq too. However, I noticed that the speed for ChIP-seq at TSS reduced by two folds. This is NOT due to the extra computation on paired-end functionality. It remains a future improvement to enhance the speed of the new covBamExons function.
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TODO

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- May 20, 2014
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* Need to fix: bamFileList returns a bam file list that may not be unique.
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* Need to fix: bamFileList returns a bam file list that may not be unique.
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(done)
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- Sep 5, 2013
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* Add sanity check for BED file. (done)

bin/ngs.plot.r

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###########################################################################
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#################### Deal with program input arguments ####################
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args <- commandArgs(T)
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# args <- unlist(strsplit('-G hg19 -R genebody -F rnaseq -C hesc.RNAseq.1M.bam -O rna_paired_1M_new_refac -Debug 1', ' '))
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# args <- unlist(strsplit('-G hg19 -R tss -C hesc.H3k4me3.Rep1.sort.bam -O tmp2 -Debug 1', ' '))
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# Input argument parser.
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args.tbl <- parseArgs(args, c('-G', '-C', '-R', '-O'))

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