一种用于大型树状图可视化的新方法。
A novel method for large tree visualization.
作者信息
Heard Jeff, Kaufmann William, Guan Xiaojun
机构信息
Renaissance Computing Institute, 100 Europa Drive, Chapel Hill, NC 27519, USA.
出版信息
Bioinformatics. 2009 Feb 15;25(4):557-8. doi: 10.1093/bioinformatics/btn656. Epub 2009 Jan 7.
SUMMARY
Many genomic and proteomic analyses generate as a result a tree of genes or proteins. These trees are often large (containing tens of thousands of nodes and edges), and need a visualization tool to fully display all the information contained in the tree. Clustering analysis can be performed on these trees to obtain clusters of proteins, and we need an efficient way to visualize the clustering results. We present a novel tree visualization tool to help with such analyses.
AVAILABILITY
http://www2.renci.org/~jeff/software/bin/win32/ProteinVis-2.1.6-win32.zip.
摘要
许多基因组和蛋白质组分析最终会生成基因或蛋白质树。这些树通常很大（包含数万个节点和边），需要一个可视化工具来充分展示树中包含的所有信息。可以对这些树进行聚类分析以获得蛋白质簇，并且我们需要一种有效的方法来可视化聚类结果。我们提出了一种新颖的树可视化工具来辅助此类分析。
可用性
http://www2.renci.org/~jeff/software/bin/win32/ProteinVis-2.1.6-win32.zip 。
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