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bioRxiv · 10.1101/2025.04.22.650045

ShinyCell2: An extended library for simple and sharable visualisation of spatial, peak-based and multi-omic single-cell data

Chen, B. J.·Lim, Y. Y.·Yang, X.·Wang, L.·Rackham, O. J.·Ouyang, J. F.
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Abstract

Single-cell technologies now span multiple modalities, generating large, complex datasets that challenge analysis and sharing. We present ShinyCell2, an enhanced R package for interactive visualisation of single-cell multi-omics and spatial transcriptomics data. ShinyCell2 retains the simplicity and lightweight deployment of its predecessor while introducing advanced visualisations, cross-modality comparisons, and statistical tools tailored to spatial and multi-omic data. It enables intuitive, rapid exploration of high-dimensional data without requiring extensive computational expertise.

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Chen, B. J., Lim, Y. Y., Yang, X., Wang, L., Rackham, O. J., Ouyang, J. F.. 2025-04-23. ShinyCell2: An extended library for simple and sharable visualisation of spatial, peak-based and multi-omic single-cell data. https://doi.org/10.1101/2025.04.22.650045

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