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

Publié dans: Sci Rep 2023 Sep; 13(1): 14377

Auteurs: Aussel R, Asif M, Chenag S, Jaeger S, Milpied P, Spinelli L

Résumé

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.

Lien vers Pubmed [PMID] – 37658061

Lien vers HAL – amu-04534416

Lien vers le DOI – 10.1038/s41598-023-40959-z