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bioRxiv · 10.1101/2022.09.20.508636

ShIVA, a user-friendly and interactive interface giving biologists control over their single-cell RNA-seq data.

Aussel, R.·Asif, M.·Chenag, S.·Jaeger, S.·Milpied, P.·Spinelli, L.
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Abstract

Single-cell technologies have revolutionised biological research and applications. As they continue to evolve with multi-omics and spatial resolution, analysing single-cell datasets is becoming increasingly complex. For biologists lacking expert data analysis resources, the problem is even more crucial, even for the simplest single-cell transcriptomics datasets. We propose ShIVA, an interface for the analysis of single-cell RNA-seq and CITE-seq data specifically dedicated to biologists. Intuitive, iterative and documented by video tutorials, ShIVA allows biologists to follow a robust and reproducible analysis process, mostly based on the Seurat v4 R package, to fully explore and quantify their dataset, to produce useful figures and tables and to export their work to allow more complex analyses performed by experts.

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Aussel, R., Asif, M., Chenag, S., Jaeger, S., Milpied, P., Spinelli, L.. 2022-09-20. ShIVA, a user-friendly and interactive interface giving biologists control over their single-cell RNA-seq data.. https://doi.org/10.1101/2022.09.20.508636

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