Virtual reality inspection of chromatin 3D and 2D data - Laboratoire Interdisciplinaire des Sciences du Numérique
Article Dans Une Revue Computers and Graphics Année : 2024

Virtual reality inspection of chromatin 3D and 2D data

Résumé

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.
Fichier principal
Vignette du fichier
Molina_2024_VRI.pdf (31.07 Mo) Télécharger le fichier
Vignette du fichier
Molina_2024_VRI.jpg (347.84 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
licence
Format Figure, Image

Dates et versions

hal-04684828 , version 1 (03-09-2024)

Licence

Identifiants

Citer

Elena Molina, David Kouřil, Tobias Isenberg, Barbora Kozlíková, Pere‐pau Vázquez. Virtual reality inspection of chromatin 3D and 2D data. Computers and Graphics, 2024, 124, article no. 104059, 11 p. ⟨10.1016/j.cag.2024.104059⟩. ⟨hal-04684828⟩
68 Consultations
7 Téléchargements

Altmetric

Partager

More