Research on Bioinformatics Analysis Methods and Applications of Single Cell Sequencing Data
Single cell sequencing technology is a new technology.Starting from the basic principles and development history of single-cell sequencing technology,this paper highlights its importance in the field of biomedical science.The paper explores in detail the key steps of bioinformatics analysis,including data preprocessing,cell heterogeneity analysis,gene expression analysis,trajectory inference,and advanced technologies such as spatial genomics.It elaborates on the applications of single-cell sequencing in cancer research,developmental biology,immunology,and neuroscience.Subsequently,the paper reveals its core role in understanding cellular heterogeneity and biological process dynamics.This aims to provide researchers with a comprehensive overview of single-cell sequencing technology and its analytical methods,and to explore its broad application prospects in biomedical research.
single cell sequencingbioinformaticsdevelopmental biologydata analysistechnical challenges
万方数据
维普
