Spatio-temporal model for multiple ChIP-seq experiments

摘要: The increasing availability of ChIP-seq data demands for advanced statistical tools to analyze the results such experiments. inherent features high-throughput sequencing output call a modelling framework that can account spatial dependency between neighboring regions genome and temporal dimension arises from observing protein binding process at progressing time points; also, multiple biological/technical replicates experiment are usually produced methods jointly them needed. Furthermore, antibodies used in lead potentially different immunoprecipitation efficiencies, which affect capability distinguishing true signal background noise. procedure proposed consist discrete mixture model with an underlying latent Markov random field: novelty is allow both play role determining state genomic involved process, while combining all information available instead treating separately. It also possible take into used, order obtain better insights exploit biological available.