Department of Bioinformatics and Systems Biology, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Hubei, Wuhan 430074, China.
Cells. 2019 Jul 3;8(7):675. doi: 10.3390/cells8070675.
High-throughput technologies generate a tremendous amount of expression data on mRNA, miRNA and protein levels. Mining and visualizing the large amount of expression data requires sophisticated computational skills. An easy to use and user-friendly web-server for the visualization of gene expression profiles could greatly facilitate data exploration and hypothesis generation for biologists. Here, we curated and normalized the gene expression data on mRNA, miRNA and protein levels in 23315, 9009 and 9244 samples, respectively, from 40 tissues (The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GETx)) and 1594 cell lines (Cancer Cell Line Encyclopedia (CCLE) and MD Anderson Cell Lines Project (MCLP)). Then, we constructed the Gene Expression Display Server (GEDS), a web-based tool for quantification, comparison and visualization of gene expression data. GEDS integrates multiscale expression data and provides multiple types of figures and tables to satisfy several kinds of user requirements. The comprehensive expression profiles plotted in the one-stop GEDS platform greatly facilitate experimental biologists utilizing big data for better experimental design and analysis. GEDS is freely available on http://bioinfo.life.hust.edu.cn/web/GEDS/.
高通量技术在 mRNA、miRNA 和蛋白质水平上产生了大量的表达数据。挖掘和可视化大量的表达数据需要复杂的计算技能。一个易于使用和用户友好的基因表达谱可视化网络服务器可以极大地促进生物学家的数据探索和假设生成。在这里,我们分别对来自 40 种组织(癌症基因组图谱(TCGA)和基因型组织表达(GETx))和 1594 种细胞系(癌症细胞系百科全书(CCLE)和 MD 安德森细胞系项目(MCLP))的 23315、9009 和 9244 个样本的 mRNA、miRNA 和蛋白质水平的基因表达数据进行了整理和标准化。然后,我们构建了基因表达显示服务器(GEDS),这是一个基于网络的工具,用于定量、比较和可视化基因表达数据。GEDS 集成了多尺度表达数据,并提供了多种类型的图形和表格,以满足各种用户需求。在一站式 GEDS 平台上绘制的综合表达谱极大地方便了实验生物学家利用大数据进行更好的实验设计和分析。GEDS 可在 http://bioinfo.life.hust.edu.cn/web/GEDS/ 上免费获取。