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QCanvas:用于基因组数据聚类和可视化的高级工具。

QCanvas: An Advanced Tool for Data Clustering and Visualization of Genomics Data.

作者信息

Kim Nayoung, Park Herin, He Ningning, Lee Hyeon Young, Yoon Sukjoon

机构信息

Department of Biological Sciences, Sookmyung Women's University, Seoul 140-742, Korea.

出版信息

Genomics Inform. 2012 Dec;10(4):263-5. doi: 10.5808/GI.2012.10.4.263. Epub 2012 Dec 31.

Abstract

We developed a user-friendly, interactive program to simultaneously cluster and visualize omics data, such as DNA and protein array profiles. This program provides diverse algorithms for the hierarchical clustering of two-dimensional data. The clustering results can be interactively visualized and optimized on a heatmap. The present tool does not require any prior knowledge of scripting languages to carry out the data clustering and visualization. Furthermore, the heatmaps allow the selective display of data points satisfying user-defined criteria. For example, a clustered heatmap of experimental values can be differentially visualized based on statistical values, such as p-values. Including diverse menu-based display options, QCanvas provides a convenient graphical user interface for pattern analysis and visualization with high-quality graphics.

摘要

我们开发了一个用户友好的交互式程序,用于同时对组学数据(如DNA和蛋白质阵列图谱)进行聚类和可视化。该程序为二维数据的层次聚类提供了多种算法。聚类结果可以在热图上进行交互式可视化和优化。本工具在进行数据聚类和可视化时不需要任何脚本语言的先验知识。此外,热图允许选择性显示满足用户定义标准的数据点。例如,实验值的聚类热图可以根据统计值(如p值)进行差异可视化。QCanvas包括各种基于菜单的显示选项,为模式分析和高质量图形可视化提供了便捷的图形用户界面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3408/3543928/cb444a277272/gni-10-263-g001.jpg

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