OLIVE provides rapid visualization and analysis of chromatin tracing experiments
Yeqiao Zhou1, Yimin Sheng1, Dongbo Hu1
1Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA.
Cell Reports Methods
|October 21, 2025
Summary
Researchers developed the optical looping interactive viewing engine (OLIVE) for analyzing 3D chromatin folding data. This web tool allows interactive visualization and analysis of individual allele structures, aiding polymer physics studies.
Area of Science:
- Genomics
- Molecular Biology
- Biophysics
Background:
- Optical chromatin tracing generates high-resolution 3D folding data for thousands of individual alleles.
- Analyzing this complex data requires specialized tools for efficient visualization and quantitative assessment.
Purpose of the Study:
- To introduce the optical looping interactive viewing engine (OLIVE), a novel web-based application for high-throughput chromatin tracing data analysis.
- To provide a user-friendly platform for researchers to visualize, analyze, and query 3D chromatin structures.
Main Methods:
- Development of OLIVE, a web-based application functioning as a genome browser for chromatin tracing data.
- Implementation of functionalities for automated 3D chromatin fiber reconstruction from user-submitted or public datasets.
- Integration of interactive querying based on spatial features (e.g., pairwise distances) and calculation of polymer physics metrics.
Main Results:
- OLIVE enables interactive 3D visualization and analysis of individual allele chromatin structures.
- Users can input their own data or explore annotated public datasets.
- The tool facilitates spatial querying and calculates polymer physics metrics for quantitative analysis.
Conclusions:
- OLIVE is the first web-based application designed for high-throughput analysis of 3D chromatin tracing data.
- It empowers researchers of all computational levels to explore complex chromatin folding patterns and conduct hypothesis-driven studies.
- The open-source nature of OLIVE promotes accessibility and further development in the field.


