Single-Cell Virtual Cytometer allows user-friendly and versatile analysis and visualization of multimodal single cell RNAseq datasets
Résumé
The development of single-cell transcriptomic technologies yields large datasets comprising multi-modal informations, such as transcriptomes and im-munophenotypes. Despite the current explosion of methods for pre-processing and integrating multi-modal single-cell data, there is currently no user-friendly software to display easily and simultaneously both immunophenotype and transcriptome-based UMAP/t-SNE plots from the pre-processed data. Here, we introduce Single-Cell Virtual Cytome-ter, an open-source software for flow cytometry-like visualization and exploration of pre-processed multi-omics single cell datasets. Using an original CITE-seq dataset of PBMC from an healthy donor, we illustrate its use for the integrated analysis of tran-scriptomes and epitopes of functional maturation in human peripheral T lymphocytes. So this free and open-source algorithm constitutes a unique resource for biologists seeking for a user-friendly analytic tool for multimodal single cell datasets.
Domaines
Bio-informatique [q-bio.QM]Origine | Fichiers éditeurs autorisés sur une archive ouverte |
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