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Updated: Jun 10, 2026
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A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
Hyperpathway: visualizing organization of pathway-molecule enriched interactions in omics studies via hyperbolic
Ilyes Abdelhamid1,2, Ziheng Liao1,3, Yuchi Liu1,2
1Center for Complex Network Intelligence (CCNI), Tsinghua Laboratory of Brain and Intelligence (THBI), Department of Psychological and Cognitive Sciences, Tsinghua University, Beijing, China.
NPJ Systems Biology and Applications
|June 8, 2026
Summary
Hyperpathway visualizes pathway enrichment analysis (PEA) data as interactive networks, revealing complex biological insights missed by traditional tables. This open-access tool enhances systems biology understanding from omics datasets.
Area of Science:
- Bioinformatics
- Systems Biology
- Network Visualization
Background:
- Pathway enrichment analysis (PEA) of omics data typically yields tabular results, limiting the accessibility of complex systems-biology insights.
- Conventional methods often fail to reveal latent functional modules and intricate pathway-molecule associations.
Purpose of the Study:
- To introduce Hyperpathway, an open-access, network-based webtool designed to overcome the limitations of tabular PEA outputs.
- To enable deeper, systems-level understanding of pathway-molecule interplay through advanced network visualization.
Main Methods:
- Conversion of PEA results into a pathway-molecule bipartite network.
- Implementation of a minimal artificial linking strategy to resolve network disconnections.
- Utilizing a leaf removal and reinsertion pipeline for accelerated, geometrically faithful hyperbolic embedding.
- Visualization of the network in a 2D hyperbolic disk with flexible coloring schemes.
Main Results:
- Hyperpathway successfully reveals latent functional modules and complex biological insights not apparent in tabular PEA outputs.
- Validated on genomic, metabolomic, and lipidomic datasets, demonstrating its utility across various omics data types.
- The webtool provides a deeper, systems-level understanding beyond p-value-based significance testing.
Conclusions:
- Hyperpathway enhances the interpretation of omics data by providing interactive, network-based visualizations.
- The tool facilitates a more comprehensive understanding of molecular component interactions within biological pathways.
- Hyperpathway serves as a versatile webtool for hyperbolic embedding and visualization of any bipartite network.
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