SIGURD

SIGURD enables clonal analysis of single-cell RNA-sequencing data through quantification of clones, functional analysis, and association of somatic and mitochondrial variants.

Key Features:

• Clonal Quantification: Quantifies clones by leveraging both somatic and mitochondrial variants from scRNA-seq data.
• Functional Analysis: Associates clones with cell populations and detects differentially expressed genes across clones after clonal detection.
• Variant Association: Associates somatic and mitochondrial variants to characterize clonality.

Scientific Applications:

• Myeloproliferative Neoplasm Research: Analyzes single-cell data of colony-forming cells derived from patients with myeloproliferative neoplasms to demonstrate clonal characterization.
• Clone Identification: Uses mitochondrial variants as natural barcodes for clone identification when somatic variant capture is limited by transcript sparsity or protocol bias.

Methodology:

SIGURD is implemented as an R-based pipeline.