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Theoretical Computer Science
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Algorithms for visualizing phylogenetic networks

descriptionPublicationkeyboard_double_arrow_right Article , Part of book or chapter of book , Preprint , Conference object 01 Jan 2016Embargo end date: 01 Jan 2016 English Publisher:Elsevier BVJournal:Theoretical Computer Science, volume 835, pages 31-43 (issn: 0304-3975, Copyright policy )
Authors: Ioannis G. Tollis; Konstantinos G. Kakoulis;

doi: 10.1016/j.tcs.2020.05.047 , 10.1007/978-3-319-50106-2_15 , 10.48550/arxiv.1609.00755

arXiv: 1609.00755

Algorithms for visualizing phylogenetic networks

Abstract

We study the problem of visualizing phylogenetic networks, which are extensions of the Tree of Life in biology. We use a space filling visualization method, called DAGmaps, in order to obtain clear visualizations using limited space. In this paper, we restrict our attention to galled trees and galled networks and present linear time algorithms for visualizing them as DAGmaps.

Appears in the Proceedings of the 24th International Symposium on Graph Drawing and Network Visualization (GD 2016)

Related Organizations
Keywords

FOS: Computer and information sciences, galled tree, treemaps, phylogenetic network, galled network, Problems related to evolution, Graph theory (including graph drawing) in computer science, Computer Science - Data Structures and Algorithms, DAGmaps, Analysis of algorithms, Data Structures and Algorithms (cs.DS)

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
Green
bronze