Journal article
diffHic: A Bioconductor package to detect differential genomic interactions in Hi-C data
ATL Lun, GK Smyth
BMC Bioinformatics | Published : 2015
Open access
Abstract
Background: Chromatin conformation capture with high-throughput sequencing (Hi-C) is a technique that measures the in vivo intensity of interactions between all pairs of loci in the genome. Most conventional analyses of Hi-C data focus on the detection of statistically significant interactions. However, an alternative strategy involves identifying significant changes in the interaction intensity (i.e., differential interactions) between two or more biological conditions. This is more statistically rigorous and may provide more biologically relevant results. Results: Here, we present the diffHic software package for the detection of differential interactions from Hi-C data. diffHic provides m..
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Awarded by University of Melbourne
Funding Acknowledgements
ATLL was funded by the University of Melbourne (Elizabeth and Vernon Puzey scholarship). GKS was funded by the National Health and Medical Research Council (Program Grant 1054618 and Fellowship). This study was undertaken with Victorian State Government Operational Infrastructure Support and Australian Government NHMRC IRIIS.