Analysis of hundreds of cis-regulatory landscapes at high resolution in a single, high-throughput experiment

By J. Hughes, N. Roberts, S. McGowan, Deborah Hay, E. Giannoulatou, Magnus D. Lynch, M. Gobbi, S. Taylor, R. Gibbons, D. Higgs. Nature Genetics, 2014

451 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

The 3D Genome Browser: a web-based browser for visualizing 3D genome organization and long-range chromatin interactions (2017, background): “Several recent high-throughput technologies based on chromatin conformation capture (3C) [7] have emerged (such as Hi-C [8], ChIA-PET [9], Capture-C [10], Capture Hi-C [11], PLAC-Seq [12], and HiChIP [13]) and have provided an unprecedented opportunity to study the genome spatial organization in a g”
Allelic Landscape of Human Blood Cell Trait Variation and Links (2016, background): “…chromatin states and transcription factors (Roadmap Epigenomics Consortium et al., 2015), gene expression quantitative trait locus datasets (eQTL) (GTEx Consortium, 2015), or, more recently, annotation of physical interactions between different regions of the genome (Hughes et al., 2014).”
HiCRep: assessing the reproducibility of Hi-C data using a stratum-adjusted correlation coefficient (2017, unknown): “A progression of high-throughput methods based on chromatin conformation capture (3C) (Dekker 2002) has emerged, including 4C (Simonis et al. 2006), 5C (Dostie et al. 2006), Hi-C (Lieberman-Aiden et al. 2009), ChIA-PET (Li et al. 2010), Capture Hi-C (Hughes et al. 2014; Mifsud et al.2015), andHiChIP”