Nucleic Acids Research · 2017 · 28 citations · 18 references
EngineeringGeneticsHi-c ExperimentsGenomicsBioinformatics DatabaseInteractive VisualizationMolecular EcologyData ScienceComputational GenomicsGenome AnalysisBiological Network VisualizationGenome StructureStatistical GeneticsFunctional GenomicsBioinformaticsBiologyComputational BiologyGenome Contact MapsCompartments FormReference GenomeSystems BiologyMedicineHi-c Maps
Hi-C experiments generate data in form of large genome contact maps (Hi-C maps). These show that chromosomes are arranged in a hierarchy of three-dimensional compartments. But to understand how these compartments form and by how much they affect genetic processes such as gene regulation, biologists and bioinformaticians need efficient tools to visualize and analyze Hi-C data. However, this is technically challenging because these maps are big. In this paper, we remedied this problem, partly by implementing an efficient file format and developed the genome contact map explorer platform. Apart from tools to process Hi-C data, such as normalization methods and a programmable interface, we made a graphical interface that let users browse, scroll and zoom Hi-C maps to visually search for patterns in the Hi-C data. In the software, it is also possible to browse several maps simultaneously and plot related genomic data. The software is openly accessible to the scientific community.
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A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping
Suhas S.P. Rao, Miriam Huntley, Neva C. Durand et al. · Cell · 2014 · 9.4K citations · Full text
Capturing Chromosome Conformation
Job Dekker, Karsten Rippe, Martijn Dekker et al. · Science · 2002 · 3.7K citations
HiC-Pro: an optimized and flexible pipeline for Hi-C data processing
Nicolas Servant, Nelle Varoquaux, Bryan R. Lajoie et al. · Genome biology · 2015 · 2.7K citations · Full text