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by Michael Hoffman michael.hoffman at utoronto dot ca

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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 downsampling. Our software has extensive documentation and was designed from the outset with external users in mind. Researchers at other universities and institutes have already installed and used Segway for their own projects.

Please see the following URL for information, installation, and support:


Live documentation based on this repository can be found on Read the Docs.


Contributions to Segway are always welcome and encouraged. See CONTRIBUTING for more information on how to get started.


Segway is free software: you can redistribute it and/or modify it under the terms of version 2 of the GNU General Public License as published by the Free Software Foundation.

Segway is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.


Please let us segway-l at listserv dot utoronto dot ca know if you have any comments on the installation or use of Segway, or file an issue on Github.