Biotechnology Bulletin ›› 2021, Vol. 37 ›› Issue (1): 52-59.doi: 10.13560/j.cnki.biotech.bull.1985.2020-0469

Previous Articles     Next Articles

Research Progress of Approaches in Single Cell RNA Sequencing Data Analysis

ZHANG Miao(), SUN Xiang-rui, XU Chun-ming()   

  1. School of Light Industry Science and Technology,Beijing Technology and Business University,Beijing 100048
  • Received:2020-04-21 Online:2021-01-26 Published:2021-01-15
  • Contact: XU Chun-ming E-mail:792151970@qq.com;xucm@th.btbu.edu.cn

Abstract:

Single cell RNA sequencing(scRNA-Seq)has been widely used in cell differentiation,tumor microenvironment and etiology of various diseases. Currently improving the accuracy of sequencing results by optimizing data analysis methods has become a research hotspot in the field of sequencing due to the characteristics of low capture rate,high noise,and high variability of scRNA-Seq. Here an overview of the mathematical methods used in the process of data analysis in recent years is summarized,and the advantages and issues in data analysis are discussed,aiming to provide a reference for the development and application of new algorithms,and to gradually improve the reliability of sequencing results.

Key words: single cell sequencing, data analysis methods, quality control, differential expression, algorithm