4.7 Article

HiCNN: a very deep convolutional neural network to better enhance the resolution of Hi-C data

Related references

Note: Only part of the references are listed.
Article Multidisciplinary Sciences

Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus

Yan Zhang et al.

NATURE COMMUNICATIONS (2018)

Article Biochemistry & Molecular Biology

Multiscale 3D Genome Rewiring during Mouse Neural Development

Boyan Bonev et al.

Article Biochemistry & Molecular Biology

CTCF-Mediated Human 3D Genome Architecture Reveals Chromatin Topology for Transcription

Zhonghui Tang et al.

Article Biochemical Research Methods

A statistical approach for inferring the 3D structure of the genome

Nelle Varoquaux et al.

BIOINFORMATICS (2014)

Article Biochemistry & Molecular Biology

A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping

Suhas S. P. Rao et al.

Article Biochemistry & Molecular Biology

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

Ferhat Ay et al.

GENOME RESEARCH (2014)

Article Biochemical Research Methods

Bayesian Inference of Spatial Organizations of Chromosomes

Ming Hu et al.

PLOS COMPUTATIONAL BIOLOGY (2013)

Article Multidisciplinary Sciences

Topological domains in mammalian genomes identified by analysis of chromatin interactions

Jesse R. Dixon et al.

NATURE (2012)

Letter Biochemical Research Methods

ChromHMM: automating chromatin-state discovery and characterization

Jason Ernst et al.

NATURE METHODS (2012)

Article Biochemical Research Methods

Fast and accurate long-read alignment with Burrows-Wheeler transform

Heng Li et al.

BIOINFORMATICS (2010)

Article Multidisciplinary Sciences

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

Erez Lieberman-Aiden et al.

SCIENCE (2009)

Article Multidisciplinary Sciences

Capturing chromosome conformation

J Dekker et al.

SCIENCE (2002)