Cellsnake

Cellsnake provides a reproducible pipeline for analysis and batch processing of single-cell RNA sequencing (scRNA-seq) data to characterize cellular heterogeneity.

Key Features:

• Comprehensive Workflow: Implements a complete scRNA-seq analysis pipeline with integration into R and Python environments for downstream analyses.
• Batch Analysis Capability: Supports batch analysis modes to process multiple samples efficiently.
• Integration-Friendly: Enables incorporation into existing computational workflows and pipelines.
• Reproducible Workflow: Provides reproducible analysis workflows for consistent processing of scRNA-seq datasets.
• High-resolution Transcriptome Analysis: Targets analysis of high-resolution single-cell transcriptome data to resolve cellular heterogeneity.

Scientific Applications:

• Developmental Biology: Investigating cellular differentiation and lineage relationships using scRNA-seq profiles.
• Cancer Research: Profiling tumor microenvironments and identifying rare cancer cell subtypes from single-cell transcriptomes.
• Immunology: Characterizing immune cell populations and responses to infection or therapy through single-cell gene expression.

Methodology:

Provides a reproducible scRNA-seq analysis workflow that integrates with R and Python and supports batch processing of multiple samples.