SAREV: A review on statistical analytics of single-cell RNA sequencing data.

ABSTRACT: Due to the development of next-generation RNA sequencing (NGS) technologies, there has been tremendous progress in research involving determining the role of genomics, transcriptomics and epigenomics in complex biological systems. However, scientists have realized that information obtained using earlier technology, frequently called 'bulk RNA-seq' data, provides information averaged across all the cells present in a tissue. Relatively newly developed single cell (scRNA-seq) technology allows us to provide transcriptomic information at a single-cell resolution. Nevertheless, these high-resolution data have their own complex natures and demand novel statistical data analysis methods to provide effective and highly accurate results on complex biological systems. In this review, we cover many

SUBMITTER: Ellis D 

PROVIDER: S-EPMC9400796 | biostudies-literature | 2022 Jul-Aug

REPOSITORIES: biostudies-literature