research data . Dataset . 2016

HSA: integrating multi-track Hi-C data for genome-scale reconstruction of 3D chromatin structure

Chenchen Zou; Yuping Zhang; Zhengqing Ouyang;
  • Published: 14 Dec 2016
  • Publisher: Figshare
Abstract
Abstract Genome-wide 3C technologies (Hi-C) are being increasingly employed to study three-dimensional (3D) genome conformations. Existing computational approaches are unable to integrate accumulating data to facilitate studying 3D chromatin structure and function. We present HSA ( http://ouyanglab.jax.org/hsa/ ), a flexible tool that jointly analyzes multiple contact maps to infer 3D chromatin structure at the genome scale. HSA globally searches the latent structure underlying different cleavage footprints. Its robustness and accuracy outperform or rival existing tools on extensive simulations and orthogonal experiment validations. Applying HSA to recent in sit...
Subjects
Medical Subject Headings: body regions
free text keywords: Biochemistry, Genetics, FOS: Biological sciences, Pharmacology, 69999 Biological Sciences not elsewhere classified, 80699 Information Systems not elsewhere classified, FOS: Computer and information sciences, Cancer
Download fromView all 2 versions
figshare
Dataset . 2016
Provider: Datacite
figshare
Dataset . 2016
Provider: Datacite
Abstract
Abstract Genome-wide 3C technologies (Hi-C) are being increasingly employed to study three-dimensional (3D) genome conformations. Existing computational approaches are unable to integrate accumulating data to facilitate studying 3D chromatin structure and function. We present HSA ( http://ouyanglab.jax.org/hsa/ ), a flexible tool that jointly analyzes multiple contact maps to infer 3D chromatin structure at the genome scale. HSA globally searches the latent structure underlying different cleavage footprints. Its robustness and accuracy outperform or rival existing tools on extensive simulations and orthogonal experiment validations. Applying HSA to recent in sit...
Subjects
Medical Subject Headings: body regions
free text keywords: Biochemistry, Genetics, FOS: Biological sciences, Pharmacology, 69999 Biological Sciences not elsewhere classified, 80699 Information Systems not elsewhere classified, FOS: Computer and information sciences, Cancer
Download fromView all 2 versions
figshare
Dataset . 2016
Provider: Datacite
figshare
Dataset . 2016
Provider: Datacite
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