Visualization of transcriptome data

VernacularTitle:转录组数据的图形呈现
Author: Xiaoting PEI ¹ ; Xinwei JIAO ; Zhiguang PING
Author Information

1. 郑州大学人民医院河南省人民医院河南省立眼科医院河南省眼科研究所河南省眼科学与视觉科学重点实验室　450003
Keywords: Transcriptome; Big data; Visualization
From: Chinese Journal of Preventive Medicine 2020;54(5):586-592
CountryChina
Language:Chinese
Abstract: As an important method to study the phenotype and function of organisms, transcriptome has become one of hot topics in current research. The transcriptomics research usually accompanies with massive data. With the increase of the amount of data, the rules and features hidden in it are not easy to be found. Transforming big data into visual graphics is the most undoubtedly intuitive way to display the hidden information of big data. Several graphs commonly used in transcriptome study were introduced in this paper, such as Venn diagram, heat map, principal component analysis scatter plot, enrichment analysis plot, and time series analysis plot, in order to help readers to choose suitable graphics in future studies.