Exploring and Visualizing Spaces of Tree Reconciliations-Reference-Cited by-同舟云学术

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Exploring and Visualizing Spaces of Tree Reconciliations

Published:2018-12-10 Issue:4 Volume:68 Page:607-618
ISSN:1063-5157
Container-title:Systematic Biology
language:en
Short-container-title:

Author:

Huber Katharina T¹,Moulton Vincent¹,Sagot Marie-France²³⁴,Sinaimeri Blerina²³⁴

Affiliation:

1. School of Computing Sciences, University of East Anglia, Norwich, UK

2. Inria Grenoble - Rhône-Alpes; Inovallée 655, Avenue de l’Europe, Montbonnot, 38334 Saint Ismier Cedex, France

3. Université de Lyon, F-69000 Lyon, France

4. Université Lyon 1, CNRS, UMR5558, 43 Boulevard du 11 Novembre 1918, 69622 Villeurbanne Cedex, France

Publisher

Oxford University Press (OUP)

Subject

Genetics,Ecology, Evolution, Behavior and Systematics

Link

http://academic.oup.com/sysbio/article-pdf/68/4/607/28824677/syy075.pdf

Reference48 articles.

1. Efficient algorithms for the reconciliation problem with gene duplication, horizontal transfer and loss;Bansal;Bioinformatics,2012

2. Reconciliation revisited: handling multiple optima when reconciling with duplication, transfer, and loss;Bansal;J. Comput. Biol.,2013

3. Geometry of the space of phylogenetic trees;Billera;Adv. Appl. Math.,2001

4. Efficient algorithms for computing the triplet and quartet distance between trees of arbitrary degree;Brodal,2013

5. Exploring the space of gene/species reconciliations with transfers;Chan;J. Math. Biol.,2015

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pairwise Distances and the Problem of Multiple Optima;Journal of Computational Biology;2024-07-01

2. Overlaid species forests;Discrete Applied Mathematics;2022-03

3. Efficiently sparse listing of classes of optimal cophylogeny reconciliations;Algorithms for Molecular Biology;2022-02-15

4. Some Problems Related to the Space of Optimal Tree Reconciliations;WALCOM: Algorithms and Computation;2022

5. DoubleRecViz: a web-based tool for visualizing transcript–gene–species tree reconciliation;Bioinformatics;2020-10-14

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