Mitoclone2: an R package for elucidating clonal structure in single-cell RNA-sequencing data using mitochondrial...

Area of Science:

• Genomics
• Cell Biology
• Bioinformatics

Background:

• Clonal cell population dynamics are crucial in development and disease.
• Mitochondrial genomic variability, due to high mutation rates, is a valuable marker for clonal identification.

Purpose of the Study:

• To introduce mitoClone2, an R package for identifying clonal populations.
• To facilitate the analysis of mitochondrial heteroplasmic variants from single-cell sequencing data.

Main Methods:

• Developed mitoClone2, an R package for clonal population identification.
• Integrated mitochondrial heteroplasmic variants from single-cell sequencing.
• Provided functions for variant calling, filtering, clustering, and visualization.

Main Results:

• mitoClone2 offers direct input of multiplexed BAM files.
• Includes annotations for human and mouse mitochondrial genomes.
• Compatible with existing clonal structure delineation tools.

Conclusions:

• mitoClone2 streamlines the investigation of clonal populations using mitochondrial genomic variability.
• The package enhances the analysis of single-cell sequencing data for biological insights.