GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C data

Two-dimensional segmentation for analyzing Hi-C data

(2014) C. Levy-Leduc et al.   BIOINFORMATICS

Statistical confidence estimation for Hi-C data reveals regulatory chromatin contacts

(2014) F. Ay et al.   GENOME RESEARCH

Combining a wavelet change point and the Bayes factor for analysing chromosomal interaction data

(2014) Yoli Shavit et al.   Molecular BioSystems

Chromatin Position Effects Assayed by Thousands of Reporters Integrated in Parallel

(2013) Waseem Akhtar et al.   CELL

A decade of 3C technologies: insights into nuclear organization

(2012) E. de Wit et al.   GENES & DEVELOPMENT

Topological domains in mammalian genomes identified by analysis of chromatin interactions

(2012) Jesse R. Dixon et al.   NATURE

Iterative correction of Hi-C data reveals hallmarks of chromosome organization

(2012) Maxim Imakaev et al.   NATURE METHODS

Probabilistic modeling of Hi-C contact maps eliminates systematic biases to characterize global chromosomal architecture

(2011) Eitan Yaffe et al.   NATURE GENETICS

A three-dimensional model of the yeast genome

(2010) Zhijun Duan et al.   NATURE

Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome

(2009) E. Lieberman-Aiden et al.   SCIENCE