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- W4386385377 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." @default.
- W4386385377 created "2023-09-02" @default.
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- W4386385377 date "2023-09-01" @default.
- W4386385377 modified "2023-10-18" @default.
- W4386385377 title "ShIVA: a user-friendly and interactive interface giving biologists control over their single-cell RNA-seq data" @default.
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- W4386385377 doi "https://doi.org/10.1038/s41598-023-40959-z" @default.
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