PT  - JOURNAL ARTICLE
AU  - Michael E. G. Sauria
AU  - Jennifer E. Phillips-Cremins
AU  - Victor G. Corces
AU  - James Taylor
TI  - HiFive: A normalization approach for higher-resolution HiC and 5C chromosome conformation data analysis
AID  - 10.1101/009951
DP  - 2014 Jan 01
TA  - bioRxiv
PG  - 009951
4099  - http://biorxiv.org/content/early/2014/10/03/009951.short
4100  - http://biorxiv.org/content/early/2014/10/03/009951.full
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.