Description
This track shows DNase hypersensitive areas assayed in a large collection of cell types
by the
ENCODE project.
Regulatory regions in general, and promoters in particular, tend to be DNase-sensitive.
Additional views of this data and additional documentation on the methods used
to identify hypersensitive sites are available from the
Uniform DNaseI HS page.
The uniform peaks in that track are the basis for the clusters shown here,
which combine data from the peaks of the different cell lines.
Display Conventions and Configuration
A gray box indicates the extent of the hypersensitive region.
The darkness is proportional to the maximum signal strength observed in any cell line.
The number to the left of the box shows how many cell lines are hypersensitive in the region.
The track can be configured to restrict the display to elements above a specified score
in the range 100-1000 (where score is based on signal strength).
Methods
Stringent (FDR 1% thresholded) peaks of DNaseI hypersensitivity from uniform processing
by the ENCODE Analysis Working Group
(Uniform DNaseI HS)
were assigned normalized scores (by UCSC regClusterMakeTableOfTables) in the range 0-1000 based
on the
narrowPeak
signalValue and then clustered on score (by UCSC regCluster) to generate singly-linked clusters.
Low-scoring clusters (score <100) were then filtered out.
Release Notes
This is the third release of this track.
It differs from the previous track as it includes clusters having only 1 cell type contributing to
the cluster (previously excluded).
The previous track is available on the UCSC preview browser as
DNase Clusters V2.
Credits
This track shows data from the University of Washington and Duke ENCODE groups,
with uniform processing by the ENCODE Analysis Working Group.
The clustering was performed at UCSC.
For additional credits and references, see the
Uniform DNaseI HS page.
Data Release Policy
While primary ENCODE data is subject to a restriction period as described in the
ENCODE data release policy,
this restriction does not apply to the integrative analysis results.
The data in this track are freely available.
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