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GOTHiC, a simple probabilistic model to resolve complex biases and to identify real interactions in Hi-C data
Borbala Mifsud, Inigo Martincorena, Elodie Darbo, Robert Sugar, Stefan Schoenfelder, Peter Fraser, Nicholas M. Luscombe
doi: https://doi.org/10.1101/023317
Borbala Mifsud
1The Francis Crick Institute, London WC2A 3LY, UK
2UCL Genetics Institute, University College London, London WC1E 6BT, UK
Inigo Martincorena
1The Francis Crick Institute, London WC2A 3LY, UK
Elodie Darbo
1The Francis Crick Institute, London WC2A 3LY, UK
Robert Sugar
1The Francis Crick Institute, London WC2A 3LY, UK
Stefan Schoenfelder
3Nuclear Dynamics Programme, Babraham Institute, Cambridge CB22 3AT, UK
Peter Fraser
3Nuclear Dynamics Programme, Babraham Institute, Cambridge CB22 3AT, UK
Nicholas M. Luscombe
1The Francis Crick Institute, London WC2A 3LY, UK
2UCL Genetics Institute, University College London, London WC1E 6BT, UK
4Okinawa Institute of Science & Technology, Okinawa 904-0495, Japan
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Posted July 27, 2015.
GOTHiC, a simple probabilistic model to resolve complex biases and to identify real interactions in Hi-C data
Borbala Mifsud, Inigo Martincorena, Elodie Darbo, Robert Sugar, Stefan Schoenfelder, Peter Fraser, Nicholas M. Luscombe
bioRxiv 023317; doi: https://doi.org/10.1101/023317
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