Segway 3.0.3
:: DESCRIPTION
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.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux
- python
:: DOWNLOAD
:: MORE INFORMATION
Citation
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.