CReSCENT

CReSCENT standardizes analysis of single-cell RNA sequencing (scRNA-seq) data from tumor specimens to enable reproducible characterization of cellular heterogeneity in cancer.

Key Features:

• Containerized Pipeline Execution Engine: Executes analysis pipelines within containers to ensure consistency and reproducibility across computational environments.
• Standardization of Analysis: Implements standardized analytical workflows for scRNA-seq data from tumor specimens to produce comparable outputs.
• Preconfigured Pipelines: Provides preconfigured, user-editable pipelines that can incorporate public datasets for customization and optimization.

Scientific Applications:

• Cell type discovery: Identification of novel cell types and cellular subpopulations within tumor specimens using scRNA-seq data.
• Gene expression characterization: Characterization of gene expression patterns at single-cell resolution to profile tumor and microenvironmental states.
• Mechanisms of cancer progression and therapy resistance: Investigation of molecular mechanisms underlying cancer development and resistance to therapies through single-cell expression analysis.

Methodology:

Analysis pipelines are executed via containerization technology; the system accepts uploaded scRNA-seq datasets and runs preconfigured, editable pipelines that can incorporate public datasets to produce standardized, reproducible results.