Segway contains a novel method for analyzing multiple tracks of functional genomics data. Our method uses a dynamic Bayesian network (DBN) model, which enables it to analyze the entire genome at 1-bp resolution even in the face of heterogeneous patterns of missing data. This method is the first application of DBN techniques to genome-scale data and the first genomic segmentation method designed for use with the maximum resolution data available from ChIP-seq experiments without downsampling.
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Hoffman MM, Buske OJ, Wang J, Weng Z, Bilmes J, Noble WS. 2012.
Unsupervised pattern discovery in human chromatin structure through genomic segmentation.
Nat Methods. 2012 Mar 18;9(5):473-6. doi: 10.1038/nmeth.1937.