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

• Main Authors: Nayoung Kim, Herin Park, Ningning He, Hyeon Young Lee, Sukjoon Yoon
• Format: Article
• Language: English
• Published: Korea Genome Organization 2012-12-01
• Series: Genomics & Informatics
• Subjects: data clustering; genomics; heatmap visualization; microarray anlaysis; pattern recognition
• Online Access: http://genominfo.org/upload/pdf/gni-10-263.pdf

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.