Single-cell Spatial Explorer: Easy exploration of spatial and multimodal transcriptomics

PONT, F.; Cerapio, J.-P.; Gravelle, P.; Ligat, L.; Valle, C.; Sarot, E.; Perrier, M.; Lopez, F.; Laurent, C.; FOURNIE, j. j.; Tosolini, M.

doi:10.1101/2022.08.04.502890

bioRxiv · 10.1101/2022.08.04.502890

Single-cell Spatial Explorer: Easy exploration of spatial and multimodal transcriptomics

PONT, F.·Cerapio, J.-P.·Gravelle, P.·Ligat, L.·Valle, C.·Sarot, E.·Perrier, M.·Lopez, F.·Laurent, C.·FOURNIE, j. j.·Tosolini, M.

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Abstract

The development of single cell technologies yields large datasets of informations as diverse and multimodal as transcriptomes, immunophenotypes, and spatial position from tissue sections in the so-called spatial transcriptomics. Currently however, user-friendly, powerful, and free algorithmic tools for straightforward analysis of spatial transcriptomic datasets are scarce. Here, we introduce Single-Cell Spatial Explorer, an open-source software for multimodal exploration of spatial transcriptomics, examplified with 6 human and murine tissues datasets.

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PONT, F., Cerapio, J.-P., Gravelle, P., Ligat, L., Valle, C., Sarot, E., Perrier, M., Lopez, F., Laurent, C., FOURNIE, j. j., Tosolini, M.. 2022-08-05. Single-cell Spatial Explorer: Easy exploration of spatial and multimodal transcriptomics. https://doi.org/10.1101/2022.08.04.502890

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