02:43Preprocessing: Preparing Input Files for Bayesian Change-point (BCP) Analysis & ChIP Read Densities for Detection of Enriched Islands in Diffuse Data
04:48Estimating the Posterior Mean Read Density of Each Block using BCMIX Approximation
06:24Post-processing Posterior Means of Diffuse Read Profiles
07:06Results: Comparison of BCP and SICER in Analysis of Histone Modification Data
Our Bayesian Change Point (BCP) algorithm builds on state-of-the-art advances in modeling change-points via Hidden Markov Models and applies them to chromatin immunoprecipitation sequencing (ChIPseq) data analysis. BCP performs well in both broad and punctate data types, but excels in accurately identifying robust, reproducible islands of diffuse histone enrichment.