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HiBrowser: an interactive and dynamic browser for synchronous Hi-C data visualization.

Pingjing Li1,2, Hong Liu3, Jialiang Sun1,2

  • 1College of Computer Science, Nankai University, Tianjin 300071, China.

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|August 6, 2023
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Summary
This summary is machine-generated.

HiBrowser is a novel tool for visualizing and analyzing high-throughput chromatin conformation capture (Hi-C) data. It enables flexible multi-omics navigation and synchronized comparisons for deeper insights into gene regulation and pathology.

Keywords:
Hi-Cannotationsgenome browsersynchronous display

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • High-throughput chromatin conformation capture (Hi-C) is crucial for understanding higher-order chromatin structure and gene regulation.
  • Visualizing multi-omics data with interactive browsers aids in exploring genetic and epigenetic factors in disease.

Purpose of the Study:

  • To develop HiBrowser, an effective browser for visualizing and analyzing Hi-C data with associated genetic and epigenetic annotations.
  • To provide flexible multi-omics navigation, multidimensional synchronization, and dynamic interaction for intuitive data analysis.

Main Methods:

  • Developed HiBrowser, a web service for visualizing Hi-C data and annotations.
  • Implemented flexible, on-demand reconstruction of custom annotation tracks.
  • Introduced a 'clone mode' for synchronous visualization and comparison of multiple samples (e.g., normal vs. tumor, pan-genomes).
  • Enabled precise searching of distal cis-regulatory element correlations and navigation within Hi-C heatmaps.

Main Results:

  • HiBrowser offers flexible multi-omics navigation and dynamic interaction.
  • The 'clone mode' facilitates intuitive comparison across multiple samples and species.
  • Supports precise searching and navigation for cis-regulatory elements.
  • Provides an out-of-the-box web service and is easily deployable on local servers.

Conclusions:

  • HiBrowser is an effective, user-friendly tool for visualizing and analyzing Hi-C data and multi-omics information.
  • Facilitates comparative analyses crucial for understanding gene regulation and disease mechanisms.
  • The tool's features enhance the intuitive exploration of complex genomic interactions.