Computational cell cycle analysis of single cell RNA-seq data

Abstract

The variation in the gene expression profiles of single cells in different phases of the cell cycle can present a leading source of variance between the cells and can interfere with the functional analysis of the transcritomic data. In this work, we review some of the few methods available to analyze cell cycle stages in scRNA-seq data and present a computational method for ordering single cells transcriptional profiles according to their cell cycle phases.