ShIVA: a user-friendly and interactive interface giving biologists control over their single-cell RNA-seq data.
Sci Rep
; 13(1): 14377, 2023 09 01.
Article
en En
| MEDLINE
| ID: mdl-37658061
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.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Análisis de Datos
/
Análisis de Expresión Génica de una Sola Célula
Límite:
Humans
Idioma:
En
Año:
2023
Tipo del documento:
Article