QCanvas
Graphical user interface for data clustering and visualization
  • 1. Data clustering and heatmap generation
  • 2. Interactive filtration and display of selected data
  • 3. High quality images for publication
Download demo data file
Qcanvas requires Java (32-bit)
Expiration date: Dec. 31, 2017
  • What is Qcanvas?
  • We have developed a user-friendly, interactive software to cluster and visualize genomics or proteomics data. It provides diverse algorithms for hierarchical clustering of two dimensional data. The clustering result can be interactively visualized and optimized on a heatmap. The present tool does not require any prior knowledge on scripting language to carry out the data clustering and visualization. Furthermore, additional dataset can be overlaid on the analysis of a given dataset. For example, a clustered heatmap of experimental data can be differentially visualized by using a statistical confidence such as p-values. Including diverse menu-based display options, QCanvas provides a convenient tool for pattern analysis and high quality image generation. It is possible to change the color, position and size of data cells, labels and trees. Clustered heatmaps can be saved in a postscript file.

  • Performance
  • Comparison between QCanvas and Cluster 3.0 was done on Windows 7 32 bit, 2GB RAM, Intel Core 2 Quad CPU 2.4GHz. Cluster 3.0 is a clustering software and Java TreeView is needed to view the clustering results generated by Cluster 3.0. For three testing files, two softwares show similar performance for biclustering of complete linkage method. For a large matrix, Cluster 3.0 gives a little bit better performance than QCanvas. However, QCanvas offers a handy clustering and visualization of genomics/proteomics data in an integrated way.

  • CPU time (min:sec)
    QCanvas Cluster
    image_4786_28.txt3:033:01
    gsk_5000_100.txt3:253:30
    gsk_5000_318.txt4:133:46

  • File description
    image_4786_28.txt

    (1.6MB)

    siRNA-high content screening image data; a matrix of size 4786 siRNAs × 28 morphological descriptors
    gsk_5000_100.txt

    (2.6MB)

    GlaxoSmithKline released gene expression data; a matrix of size 5000 gene probes × 100 cell lines
    gsk_5000_318.txt

    (8.3MB)

    GlaxoSmithKline released gene expression data; a matrix of size 5000 gene probes × 318 cell lines
  • Reference
  • ( Please cite the following paper when publishing your work using QCanvas)
  • QCanvas: a graphical user interface for data clustering and visualization, Nayoung Kim, Herin Park, Ningning He, HyeonYoung Lee and Sukjoon Yoon, Genomics Inform(2012) 10(4):263-265
  • Last update: Dec. 23, 2016 by Yourae Hong