4C-ker: A method to reproducibly identify genome-wide interactions captured by 4C-Seq experiments
Ramya Raviram, Pedro P. Rocha, Christian L. Müller, Emily R. Miraldi, Sana Badri, Yi Fu, Emily Swanzey, Charlotte Proudhon, Valentina Snetkova, Richard Bonneau, Jane Skok
This paper introduces 4C-ker, a method that improves the reproducibility of identifying genome-wide interactions from 4C-Seq data by accounting for signal biases and varying resolution.
PLOS Computational Biology · Mar 3, 2016Peer-reviewedBioinformatics