ArticleBMC bioinformatics2010
Genome3D: a viewer-model framework for integrating and visualizing multi-scale epigenomic information within a three-dimensional genome.
Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Uchimata: a toolkit for visualization of 3D genome structures on the web and in computational notebooks.Bioinformatics (Oxford, England) · 2026Article
- Design Space and Declarative Grammar for 3D Genomic Data Visualization.IEEE transactions on visualization and computer graphics · 2026Article
- Uchimata: a toolkit for visualization of 3D genome structures on the web and in computational notebooks.ArXiv · 2025Article
- ARGV: 3D genome structure exploration using augmented reality.BMC bioinformatics · 2024Article
- 3D models of fungal chromosomes to enhance visual integration of omics data.NAR genomics and bioinformatics · 2023Article
- Mol* Viewer: modern web app for 3D visualization and analysis of large biomolecular structures.Nucleic acids research · 2021Article
- CSynth: an interactive modelling and visualization tool for 3D chromatin structure.Bioinformatics (Oxford, England) · 2021Article
- Grand Challenges in Bioinformatics Data Visualization.Frontiers in bioinformatics · 2021Article
- Insight into the structures of Interleukin-18 systems.Computational biology and chemistry · 2020Article
- An Overview of Methods for Reconstructing 3-D Chromosome and Genome Structures from Hi-C Data.Biological procedures online · 2019Review
- Computational methods for analyzing and modeling genome structure and organization.Wiley interdisciplinary reviews. Systems biology and medicine · 2019Review
- 3C and 3C-based techniques: the powerful tools for spatial genome organization deciphering.Molecular cytogenetics · 2018Review
- Challenges for visualizing three-dimensional data in genomic browsers.FEBS letters · 2017Review
- Discovering hotspots in functional genomic data superposed on 3D chromatin configuration reconstructions.Nucleic acids research · 2016Article
- GMOL: An Interactive Tool for 3D Genome Structure Visualization.Scientific reports · 2016Article
- A low-latency, big database system and browser for storage, querying and visualization of 3D genomic data.Nucleic acids research · 2015Article
- Analysis methods for studying the 3D architecture of the genome.Genome biology · 2015Review
- Understanding the regulatory and transcriptional complexity of the genome through structure.Genome research · 2013Review
Corrections and comments
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4 authors.
Funding
Abstract
backgroundNew technologies are enabling the measurement of many types of genomic and epigenomic information at scales ranging from the atomic to nuclear. Much of this new data is increasingly structural in nature, and is often difficult to coordinate with other data sets. There is a legitimate need for integrating and visualizing these disparate data sets to reveal structural relationships not apparent when looking at these data in isolation.
resultsWe have applied object-oriented technology to develop a downloadable visualization tool, Genome3D, for integrating and displaying epigenomic data within a prescribed three-dimensional physical model of the human genome. In order to integrate and visualize large volume of data, novel statistical and mathematical approaches have been developed to reduce the size of the data. To our knowledge, this is the first such tool developed that can visualize human genome in three-dimension. We describe here the major features of Genome3D and discuss our multi-scale data framework using a representative basic physical model. We then demonstrate many of the issues and benefits of multi-resolution data integration.
conclusionsGenome3D is a software visualization tool that explores a wide range of structural genomic and epigenetic data. Data from various sources of differing scales can be integrated within a hierarchical framework that is easily adapted to new developments concerning the structure of the physical genome. In addition, our tool has a simple annotation mechanism to incorporate non-structural information. Genome3D is unique is its ability to manipulate large amounts of multi-resolution data from diverse sources to uncover complex and new structural relationships within the genome.
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