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drop bws from plotFingerPrint doc
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docs/content/tools/plotFingerprint.rst

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@@ -21,7 +21,7 @@ It determines how well the signal in the ChIP-seq sample can be differentiated f
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For factors that will enrich well-defined, rather narrow regions (e.g. transcription factors such as p300), the resulting plot can be used to assess the strength of a ChIP, but the broader the enrichments are to be expected, the less clear the plot will be.
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Vice versa, if you do not know what kind of signal to expect, the fingerprint plot will give you a straight-forward indication of how careful you will have to be during your downstream analyses to separate biological noise from meaningful signal.
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Similar to ``multiBamSummary``, ``plotFingerprint`` randomly samples genome regions (bins) of a specified length and sums the per-base coverage in indexed [BAM][] (or bigWig) files that overlap with those regions.
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Similar to ``multiBamSummary``, ``plotFingerprint`` randomly samples genome regions (bins) of a specified length and sums the per-base coverage in indexed BAM files that overlap with those regions.
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These values are then sorted according to their rank and the cumulative sum of read counts is plotted.
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