You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardexpand all lines: docs/content/tools/plotFingerprint.rst
+1-1
Original file line number
Diff line number
Diff line change
@@ -21,7 +21,7 @@ It determines how well the signal in the ChIP-seq sample can be differentiated f
21
21
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.
22
22
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.
23
23
24
-
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.
24
+
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.
25
25
These values are then sorted according to their rank and the cumulative sum of read counts is plotted.
0 commit comments