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Old 11-28-2012, 01:14 AM   #1
Location: London

Join Date: Nov 2012
Posts: 10
Default Tools to plot strand cross correlation for a ChIP-seq experiment

Hi all,

I'm looking for a tool which will allow me to plot the strand cross correlation of reads in some ChIp-seq data.

The estimate.mean.fraglen() function in the chipseq R package uses a correlation method to estimate fragment size, but gives me an answer far off what I'd expect - ~570bp rather than 200bp. The other methods the function can use give me ~200bp (SISSR) and ~380bp (coverage).

I'd like to plot the strand cross correlation to see why this might be happening. I've found this tool:, which is based on SPP ( but I am having trouble installing all the necessary dependencies on the lab server. Does anyone know of any alternatives? I don't need the peak-calling functionality of SPP, just the correlation plots.

Thank you!
liz_is is offline   Reply With Quote
Old 11-28-2012, 01:41 AM   #2
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Location: Munich

Join Date: Jan 2009
Posts: 138

in principle you just need strand-specific coverage vectors of your ChIP signals and use the 'ccf' function in R to cross-correlate the two.

some remarks:
- why do you expect 570 bp?
- I once compared the true average fragment size obtained by paired-end sequencing and the one calculated by cross-correlation. Result: way different!
mudshark is offline   Reply With Quote
Old 11-28-2012, 01:44 AM   #3
Location: London

Join Date: Nov 2012
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I don't expect 570bp, I expect 200bp! Sorry if that wasn't clear.

I'll have a go with the ccf function, thanks.
liz_is is offline   Reply With Quote

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