Automated mapping of large-scale chromatin structure in ENCODE.

ABSTRACT:

Motivation

A recently developed DNaseI assay has given us our first genome-wide view of chromatin structure. In addition to cataloging DNaseI hypersensitive sites, these data allows us to more completely characterize overall features of chromatin accessibility. We employed a Bayesian hierarchical change-point model (CPM), a generalization of a hidden Markov Model (HMM), to characterize tiled microarray DNaseI sensitivity data available from the ENCODE project.

Results

Our analysis shows that the accessibility of chromatin to cleavage by DNaseI is well described by a four state model of local segments with each state described by a continuous mixture of Gaussian variables. The CPM produces a better fit to the observed data than the HMM. The large posterior probability for the

SUBMITTER: Lian H 

PROVIDER: S-EPMC2519158 | biostudies-literature | 2008 Sep

REPOSITORIES: biostudies-literature