singlecellVR

singlecellVR enables interactive visualization of single-cell transcriptomic, epigenomic, and proteomic data in virtual reality to explore cellular heterogeneity and dynamic processes.

Key Features:

• Virtual reality visualization: Interactive immersive visualization of high-dimensional single-cell data in a VR environment.
• Support for diverse data types: Handles transcriptomic, epigenomic, and proteomic datasets and combinations thereof.
• Advanced analysis modalities: Visualizes clustering, trajectory inference, and RNA velocity to represent cell state transitions and dynamic processes.
• Integration with existing tools: Provides the companion package scvr for data conversion from popular single-cell analysis platforms.

Scientific Applications:

• Developmental biology: Visualization of differentiation trajectories and dynamic cell-state changes using trajectory inference and RNA velocity.
• Cancer research: Exploration of tumor heterogeneity and distinct cellular states within tumors.
• Immunology: Analysis of immune cell heterogeneity and dynamic responses at single-cell resolution.
• Studies of cellular heterogeneity and dynamics: Investigation of complex cell populations and temporal processes revealed by single-cell assays.

Methodology:

Integrates VR visualization with outputs from clustering, trajectory inference, and RNA velocity modeling and accepts data converted via the scvr package.