Segway

The free Segway software package 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 down-sampling. Segway uses the Graphical Models Toolkit (GMTK) for efficient DBN inference. Our software has extensive documentation and was designed from the outset with external users in mind.