RT Journal Article
SR Electronic
T1 HiFive: A normalization approach for higher-resolution HiC and 5C chromosome conformation data analysis
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 009951
DO 10.1101/009951
A1 Michael E. G. Sauria
A1 Jennifer E. Phillips-Cremins
A1 Victor G. Corces
A1 James Taylor
YR 2014
UL http://biorxiv.org/content/early/2014/10/03/009951.abstract
AB While sequencing-based proximity assays have established many megabase-scale features of chromosome organization, experimental noise and biases have left finer-scale organization poorly understood. We developed HiFive, an empirically-driven probabilistic modeling approach for normalizing and analyzing HiC and 5C data. HiFive allows reconstruction of chromatin structural features at higher resolution than previously described and meets or outperforms other approaches. With novel feature detection, denoising, and efficient algorithms, HiFive enables utilization of these data with a fraction of the computational power and time without sacrificing resolution. Using HiFive, we demonstrate transcriptionally-associated differential spatial organization of the mouse genome.