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Genome contact map explorer: a platform for the comparison, interactive visualization and analysis of genome contact
Rajendra Kumar1,2, Haitham Sobhy3, Per Stenberg3,4
1Integrated Science Lab, Umeå University, 901 87, Umeå, Sweden.
Nucleic Acids Research
|October 4, 2017
Summary
Scientists developed a new platform to easily visualize and analyze large genome contact maps from Hi-C experiments. This tool helps researchers understand chromosome structure and its impact on gene regulation.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Hi-C experiments yield large genome contact maps detailing the 3D organization of chromosomes into hierarchical compartments.
- Understanding the formation and functional impact of these compartments on processes like gene regulation requires efficient data analysis tools.
- Analyzing large Hi-C datasets presents significant technical challenges due to their size.
Purpose of the Study:
- To address the technical challenges in visualizing and analyzing large Hi-C data.
- To develop an efficient platform for exploring genome contact maps.
- To facilitate the study of 3D genome organization and its role in genetic processes.
Main Methods:
- Implementation of an efficient file format for genome contact maps.
- Development of the genome contact map explorer platform.
- Inclusion of data processing tools (e.g., normalization methods) and a programmable interface.
- Creation of a graphical user interface for interactive browsing, scrolling, and zooming of Hi-C maps.
- Functionality for simultaneous multi-map browsing and plotting of related genomic data.
Main Results:
- A novel platform, the genome contact map explorer, has been developed.
- The platform incorporates efficient data handling and processing capabilities.
- An intuitive graphical interface allows for visual pattern searching within Hi-C data.
Conclusions:
- The developed platform provides an efficient solution for visualizing and analyzing large Hi-C datasets.
- This tool will aid biologists and bioinformaticians in investigating 3D genome organization and gene regulation.
- The software is openly accessible, promoting wider scientific community engagement and research.
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