infercnv

infercnv uses single-cell RNA-Seq expression data to visualize copy number variation in cells.

Key Features:

• Single-cell RNA-Seq CNV inference: Analyzes expression patterns from single-cell RNA sequencing to infer genomic copy number alterations at cellular resolution.
• CNV visualization: Generates visual representations of copy number variation across individual cells to identify aneuploidy and chromosomal aberrations.

Scientific Applications:

• Cancer research: Identifies malignant cells and tumor heterogeneity through detection of somatic copy number alterations in single-cell transcriptomic data.
• Cell lineage analysis: Distinguishes normal from abnormal cell populations based on chromosomal copy number states.

Methodology:

The tool analyzes single-cell RNA-Seq expression data to infer and visualize copy number variation in cells.