scX: A user-friendly tool for scRNA-seq exploration.
Journal
ArXiv
ISSN: 2331-8422
Titre abrégé: ArXiv
Pays: United States
ID NLM: 101759493
Informations de publication
Date de publication:
07 Mar 2024
07 Mar 2024
Historique:
pubmed:
14
11
2023
medline:
14
11
2023
entrez:
14
11
2023
Statut:
epublish
Résumé
Single-cell RNA sequencing (scRNA-seq) has transformed our ability to explore biological systems. Nevertheless, proficient expertise is essential for handling and interpreting the data. In this paper, we present scX, an R package built on the Shiny framework that streamlines the analysis, exploration, and visualization of single-cell experiments. With an interactive graphic interface, implemented as a web application, scX provides easy access to key scRNAseq analyses, including marker identification, gene expression profiling, and differential gene expression analysis. Additionally, scX seamlessly integrates with commonly used single-cell Seurat and Single-CellExperiment R objects, resulting in efficient processing and visualization of varied datasets. Overall, scX serves as a valuable and user-friendly tool for effortless exploration and sharing of single-cell data, simplifying some of the complexities inherent in scRNAseq analysis.
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NINDS NIH HHS
ID : R01 NS103758
Pays : United States
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