Cellsnake: a user-friendly tool for single-cell RNA sequencing analysis.

ABSTRACT:

Background

Single-cell RNA sequencing (scRNA-seq) provides high-resolution transcriptome data to understand the heterogeneity of cell populations at the single-cell level. The analysis of scRNA-seq data requires the utilization of numerous computational tools. However, nonexpert users usually experience installation issues, a lack of critical functionality or batch analysis modes, and the steep learning curves of existing pipelines.

Results

We have developed cellsnake, a comprehensive, reproducible, and accessible single-cell data analysis workflow, to overcome these problems. Cellsnake offers advanced features for standard users and facilitates downstream analyses in both R and Python environments. It is also designed for easy integration into existing workflows, allowing f

SUBMITTER: Umu SU 

PROVIDER: S-EPMC10603768 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature