Bioinformatics and Systems Biology Laboratory, Federal University of Paraná, Curitiba 81520-260, Brazil.
Bioinformatics Department, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil.
Bioinformatics. 2022 Feb 7;38(5):1463-1464. doi: 10.1093/bioinformatics/btab819.
Dendrogram is a classical diagram for visualizing binary trees. Although efficient to represent hierarchical relations, it provides limited space for displaying information on the leaf elements, especially for large trees.
Here, we present TreeAndLeaf, an R/Bioconductor package that implements a hybrid layout strategy to represent tree diagrams with focus on the leaves. The TreeAndLeaf package combines force-directed graph and tree layout algorithms using a single visualization system, allowing projection of multiple layers of information onto a graph-tree diagram. The Supplementary Information provides two case studies that use breast cancer data from epidemiological and experimental studies.
TreeAndLeaf is written in the R language, and is available from the Bioconductor project at http://bioconductor.org/packages/TreeAndLeaf/ (version≥1.4.2).
Supplementary data are available at Bioinformatics online.
树状图是可视化二叉树的经典图表。虽然它能够高效地表示层次关系，但在显示叶子元素的信息方面提供的空间有限，尤其是对于大型树。
在这里，我们提出了 TreeAndLeaf，这是一个 R/Bioconductor 包，它实现了一种混合布局策略，用于重点关注叶子的树图表示。TreeAndLeaf 包使用单个可视化系统结合力导向图和树布局算法，允许将多层信息投影到图-树图上。补充信息提供了两个案例研究，这些案例使用了来自流行病学和实验研究的乳腺癌数据。
TreeAndLeaf 是用 R 语言编写的，可从 http://bioconductor.org/packages/TreeAndLeaf/（版本≥1.4.2）获得 Bioconductor 项目。
补充数据可在 Bioinformatics 在线获得。
