Hypergraph Analysis Toolbox for Chromosome Conformation
Joshua Pickard, Can Chen, Rahmy Salman, Cooper Stansbury, Sion Kim,, Amit Surana, Anthony Bloch, and Indika Rajapakse
TL;DR
This paper introduces HAT, a software toolbox that uses hypergraph theory to visualize and analyze complex multi-way interactions in biological systems, especially chromosome conformations.
Contribution
The paper presents HAT, a novel software package that applies hypergraph analysis to biological multi-way interaction data, enabling better understanding of chromosome conformation.
Findings
HAT effectively visualizes complex multi-way interactions.
HAT provides quantitative analysis tools for hypergraph data.
Application to biological data reveals new insights into chromosome structure.
Abstract
Recent advances in biological technologies, such as multi-way chromosome conformation capture (3C), require development of methods for analysis of multi-way interactions. Hypergraphs are mathematically tractable objects that can be utilized to precisely represent and analyze multi-way interactions. Here we present the Hypergraph Analysis Toolbox (HAT), a software package for visualization and analysis of multi-way interactions in complex systems.
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Taxonomy
TopicsData Visualization and Analytics · Complex Network Analysis Techniques · Bioinformatics and Genomic Networks