ArticleAlgorithmica2018
On Unrooted and Root-Uncertain Variants of Several Well-Known Phylogenetic Network Problems.
Article in Algorithmica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Characterizing semi-directed phylogenetic networks and their multi-rootable variants.Theory in biosciences = Theorie in den Biowissenschaften · 2025Article
- Frin: An Efficient Method for Representing Genome Evolutionary History.Frontiers in genetics · 2019Article
- Modeling Hybridization Under the Network Multispecies Coalescent.Systematic biology · 2018Article
- Tree-Based Unrooted Phylogenetic Networks.Bulletin of mathematical biology · 2018Article
- Uprooted Phylogenetic Networks.Bulletin of mathematical biology · 2017Article
- On the fixed parameter tractability of agreement-based phylogenetic distances.Journal of mathematical biology · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The hybridization number problem requires us to embed a set of binary rooted phylogenetic trees into a binary rooted phylogenetic network such that the number of nodes with indegree two is minimized. However, from a biological point of view accurately inferring the root location in a phylogenetic tree is notoriously difficult and poor root placement can artificially inflate the hybridization number. To this end we study a number of relaxed variants of this problem. We start by showing that the fundamental problem of determining whether an
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.