## Description

This track shows the moving baseline of mean DNaseI sensitivity, computed over each PCR amplicon using a locally-weighted least squares (LOWESS)-based algorithm described in Dorschner et al (2004). The track is one of a set of tracks that annotate continuous DNaseI sensitivity measurements and DNaseI hypersensitive sites (HSs) over ENCODE regions. DNaseI has long been used to map general chromatin accessibility and the DNaseI "hyperaccessibility" or "hypersensitivity" that is a universal feature of active cis-regulatory sequences. The data were produced using quantitative chromatin profiling (QCP) (Dorschner et al.).

See the UW/Reg Amplicon track for a list of the cell lines/phenotypes studied in these experiments.

## Display Conventions and Configuration

The displayed values are calculated as `(copies in DNaseI-untreated / copies in DNaseI-treated)`. Thus, increasing values represent increasing sensitivity.

The subtracks within this composite annotation track may be configured in a variety of ways to highlight different aspects of the displayed data. The graphical configuration options are shown at the top of the track description page, followed by a list of subtracks. To display only selected subtracks, uncheck the boxes next to the tracks you wish to hide. For more information about the graphical configuration options, click the Graph configuration help link.

Color differences among the subtracks are arbitrary; they provide a visual cue for distinguishing the different cell lines/phenotypes.

## Methods

QCP was performed as described in Dorschner et al. See the UW/Reg Amplicon track description for more information.

## Verification

See the UW/Reg Amplicon track description for verification information.

## Credits

Data generation, analysis, and validation were performed jointly by groups at Regulome Corporation and the University of Washington (UW) in Seattle.

Regulome Corp.: Michael O. Dorschner, Richard Humbert, Peter J. Sabo, Anthony Shafer, Jeff Goldy, Molly Weaver, Kristin Lee, Fidencio Neri, Brendan Henry, Mike Hawrylycz, Paul Tittel, Jim Wallace, Josh Mack, Janelle Kawamoto, John A. Stamatoyannopoulos.

UW Medical Genetics: Patrick Navas, Man Yu, Hua Cao, Brent Johnson, Ericka Johnson, George Stamatoyannopoulos.

UW Genome Sciences: Scott Kuehn, Robert Thurman, William S. Noble.

## References

Dorschner, M.O., Hawrylycz, M., Humbert, R., Wallace, J.C., Shafer, A., Kawamoto, J., Mack, J., Hall, R., Goldy, J., Sabo, P.J. et al. High-throughput localization of functional elements by quantitative chromatin profiling. Nat Methods 1(3), 219-25 (2004).