National Center for Functional Glycomics, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Bioinformatics. 2019 Sep 15;35(18):3536-3537. doi: 10.1093/bioinformatics/btz075.
Traditional glycan microarray data is typically presented as excel files with limited visualization and interactivity. Thus, comparisons and analysis of glycan array data have been difficult, and there is need for a tool to facilitate data mining of glycan array data.
GLAD (GLycan Array Dashboard) is a web-based tool to visualize, analyze, present and mine glycan microarray data. GLAD allows users to input multiple data files to create comparisons. GLAD extends the capability of the microarray data to produce more comparative visualizations in the form of grouped bar charts, heatmaps, calendar heatmaps, force graphs and correlation maps in order to analyze broad sets of samples. Additionally, it allows users to filter, sort and normalize the data and view glycan structures in an interactive manner, to facilitate faster visual data mining.
GLAD is freely available for use on the Web at https://glycotoolkit.com/Tools/GLAD/ with all major modern browsers (Edge, Firefox, Chrome, Safari).
Full documentation and video tutorials for GLAD can be found on https://glycotoolkit.com/GLAD.
传统的糖基微阵列数据通常以 Excel 文件的形式呈现，可视化和交互性有限。因此，糖基阵列数据的比较和分析一直很困难，需要有一种工具来方便糖基阵列数据的挖掘。
GLAD（糖基微阵列仪表板）是一个基于网络的工具，用于可视化、分析、呈现和挖掘糖基微阵列数据。GLAD 允许用户输入多个数据文件来创建比较。GLAD 扩展了微阵列数据的功能，以产生更多的组条形图、热图、日历热图、力图和相关图形式的比较可视化，以便分析大量样本。此外，它允许用户以交互方式过滤、排序和归一化数据，并查看糖结构，以方便更快地进行可视化数据挖掘。
GLAD 可在 Web 上免费使用，网址为 https://glycotoolkit.com/Tools/GLAD/，支持所有主流现代浏览器（Edge、Firefox、Chrome、Safari）。
GLAD 的完整文档和视频教程可在 https://glycotoolkit.com/GLAD 上找到。
