Sign in
BioinformaticsbioRxiv
Preprint

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

Bei Jun CheniD, Yi Yang Lim, Xinyi Yang, Lijin WangiD, Owen J. L. RackhamiD, John F. OuyangiD

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.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.