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The experiment aims to estimate the posterior mean read density across the genome using mapped reed positions from chromatin immunoprecipitation sequencing data. To achieve this, chip seek reads are pre-processed into blocked density profiles with the same number of reads in 200 base pair bins. Blocks with similar densities are merged, and mean densities are calculated recursively using a Bayesian model. The read count is modeled with a Poisson distribution and a gamma-prior distribution. Posterior mean density estimates are evaluated for significance based on the 90th quantile of the input control background density.
