Virtual reality inspection of chromatin 3D and 2D data

Understanding the packing of long DNA strands into chromatin is one of the ultimate challenges in genomic research. An intrinsic part of this complex problem is studying the chromatin’s spatial structure. Biologists reconstruct 3D models of chromatin from experimental data, yet the exploration and analysis of such 3D structures is limited in existing genomic data visualization tools. To improve this situation, we investigated the current options of immersive methods and designed a prototypical VR visualization tool for 3D chromatin models that leverages virtual reality to deal with the spatial data. We showcase the tool in three primary use cases. First, we provide an overall 3D shape overview of the chromatin to facilitate the identification of regions of interest and the selection for further investigation. Second, we include the option to export the selected regions and elements in the BED format, which can be loaded into common analytical tools. Third, we integrate epigenetic modification data along the sequence that influence gene expression, either as in-world 2D charts or overlaid on the 3D structure itself. We developed our application in collaboration with two domain experts and gathered insights from two informal studies with five other experts. • Virtual Reality tool that is able to deal with chromatin data. • The tool can extend the domain experts’ common workflow of chromatin data analysis. • It has been tested with domain experts that find it very useful and promising for their work.

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Publication Details

Journal
Computers & Graphics
Published
2024-08-30
DOI
https://doi.org/10.1016/j.cag.2024.104059
Citations
7
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
1.64

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article

Virtual reality inspection of chromatin 3D and 2D data

Pere‐Pau Vázquez, Barbora Kozlíková, David Kouřil, Elena Molina et al.
7 citations
Computers & Graphics
Genomics and Chromatin Dynamics
1.64
article

Virtual reality inspection of chromatin 3D and 2D data

Pere‐Pau Vázquez, Barbora Kozlíková, David Kouřil, Elena Molina, Tobias Isenberg
article en
7 citations

Abstract

Understanding the packing of long DNA strands into chromatin is one of the ultimate challenges in genomic research. An intrinsic part of this complex problem is studying the chromatin’s spatial structure. Biologists reconstruct 3D models of chromatin from experimental data, yet the exploration and analysis of such 3D structures is limited in existing genomic data visualization tools. To improve this situation, we investigated the current options of immersive methods and designed a prototypical VR visualization tool for 3D chromatin models that leverages virtual reality to deal with the spatial data. We showcase the tool in three primary use cases. First, we provide an overall 3D shape overview of the chromatin to facilitate the identification of regions of interest and the selection for further investigation. Second, we include the option to export the selected regions and elements in the BED format, which can be loaded into common analytical tools. Third, we integrate epigenetic modification data along the sequence that influence gene expression, either as in-world 2D charts or overlaid on the 3D structure itself. We developed our application in collaboration with two domain experts and gathered insights from two informal studies with five other experts. • Virtual Reality tool that is able to deal with chromatin data. • The tool can extend the domain experts’ common workflow of chromatin data analysis. • It has been tested with domain experts that find it very useful and promising for their work.

Computers & GraphicsVol. 124
Centre National de la Recherche Scientifique (FR), Harvard University (US), Masaryk University (CZ), Universitat de Girona (ES), Université Paris-Saclay (FR), Lemuel Shattuck Hospital (US), Universitat Politècnica de Catalunya (ES)
Grantová Agentura České Republiky, Ministerio de Ciencia e Innovación, Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España
Openalex Percentile: Top 16%
Genomics and Chromatin Dynamics
1.64
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