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Aggregated Dendrograms for Visual Comparison between Many Phylogenetic Trees
- Source :
- IEEE Transactions on Visualization and Computer Graphics. 26:2732-2747
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- We address the visual comparison of multiple phylogenetic trees that arises in evolutionary biology, specifically between one reference tree and a collection of dozens to hundreds of other trees. We abstract the domain questions of phylogenetic tree comparison as tasks to look for supporting or conflicting evidence for hypotheses that requires inspection of both topological structure and attribute values at different levels of detail in the tree collection. We introduce the new visual encoding idiom of aggregated dendrograms to concisely summarize the topological relationships between interactively chosen focal subtrees according to biologically meaningful criteria, and provide a layout algorithm that automatically adapts to the available screen space. We design and implement the ADView system, which represents trees at multiple levels of detail across multiple views: the entire collection, a subset of trees, an individual tree, specific subtrees of interest, and the individual branch level. We benchmark the algorithms developed for ADView, compare its information density to previous work, and demonstrate its utility for quickly gathering evidence about biological hypotheses through usage scenarios with data from recently published phylogenetic analysis and case studies of expert use with real-world data, drawn from a summative interview study.
- Subjects :
- Structure (mathematical logic)
Phylogenetic tree
Computer science
Visual comparison
Dendrogram
020207 software engineering
02 engineering and technology
computer.software_genre
Computer Graphics and Computer-Aided Design
Domain (software engineering)
Tree (data structure)
Phylogenetics
Signal Processing
Computer Graphics
0202 electrical engineering, electronic engineering, information engineering
Benchmark (computing)
Cluster Analysis
Humans
Computer Vision and Pattern Recognition
Data mining
computer
Phylogeny
Software
Subjects
Details
- ISSN :
- 21609306 and 10772626
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Visualization and Computer Graphics
- Accession number :
- edsair.doi.dedup.....9b26090ddf3c9561f92eff1712566106
- Full Text :
- https://doi.org/10.1109/tvcg.2019.2898186