Gothic, a probabilistic model to resolve complex biases and to identify real interactions in hi-c data

HIGHLIGHTS

• who: Borbala Mifsud and colleagues from the Evolution and Environment, University College London, London, United Kingdom, Nuclear Dynamics have published the research work: GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C data, in the Journal: PLOS ONE | https://doi.org/10.1371/journal.pone [0174744]. April 5, 2017 of March/14,/2017
• what: The authors demonstrate this experimentally by testing the method against a random ligation dataset.
• how: A recent improvement of this method is implemented in Fit-Hi-C[14].

SUMMARY

 



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