Single-cell RNA sequencing data are useful for studying cell phenotypes and function. However, deciphering the clonal relationships of cells is critical to understanding the patterns of cell migration during development and tissue growth, and to studying the relationship between genomic mutations and cell function.
Click here for original story, Novel algorithm able to detect mutations in single-cell sequencing data sets
Source: Phys.org