ShinySC: An R/Shiny-based desktop application for seamless analysis of scRNA-Seq data.

ABSTRACT:

Background

Single-cell RNA sequencing (scRNA-seq) enables detailed profiling of cellular heterogeneity, but complex workflows and diverse data formats limit accessibility for clinicians and researchers without programming expertise.

Results

We introduce ShinySC, an R/Shiny-based desktop application designed to streamline comprehensive scRNA-seq analysis through an intuitive graphical interface. ShinySC supports various input formats, including 10x Genomics, Seurat, Scanpy, BD Rhapsody, and CellView. The tool integrates essential analytical procedures such as quality control, normalization, dimensionality reduction, clustering, marker gene identification, batch correction, differential expression analysis, and trajectory inference. Notably, ShinySC implements multiple automat

SUBMITTER: Huang PJ 

PROVIDER: S-EPMC12860678 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature