A novel method for large tree visualization

被引：3

作者：

Heard, Jeff ^{[1
]}

Kaufmann, William ^{[2
,3
]}

Guan, Xiaojun ^{[1
]}

机构：

[1] Renaissance Comp Inst, Chapel Hill, NC 27519 USA

[2] Univ N Carolina, Dept Pathol, Chapel Hill, NC 27599 USA

[3] Univ N Carolina, Lab Med, Chapel Hill, NC 27599 USA

来源：

BIOINFORMATICS | 2009年 / 25卷 / 04期

关键词：

D O I：

10.1093/bioinformatics/btn656

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：557 / 558

页数：2

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