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Dataset Information

Asc-Seurat: analytical single-cell Seurat-based web application.


ABSTRACT:

Background

Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of transcriptomes, arising as a powerful tool for discovering and characterizing cell types and their developmental trajectories. However, scRNA-seq analysis is complex, requiring a continuous, iterative process to refine the data and uncover relevant biological information. A diversity of tools has been developed to address the multiple aspects of scRNA-seq data analysis. However, an easy-to-use web application capable of conducting all critical steps of scRNA-seq data analysis is still lacking. We present Asc-Seurat, a feature-rich workbench, providing an user-friendly and easy-to-install web application encapsulating tools for an all-encompassing and fluid scRNA-seq data analysis. Asc-Seurat implement

SUBMITTER: Pereira WJ 

PROVIDER: S-EPMC8600690 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature