A 3-factor approximation algorithm for a Maximum Acyclic Agreement Forest on k rooted, binary phylogenetic trees
Asish Mukhopadhyay, Puspal Bhabak

TL;DR
This paper presents a new 3-factor approximation algorithm for the Maximum Acyclic Agreement Forest problem on multiple rooted, binary phylogenetic trees, improving previous approximation ratios and addressing reticulate evolution in phylogenetic networks.
Contribution
It introduces a 3-approximation algorithm for the MAAF problem on k phylogenetic trees, enhancing prior approximation bounds from 8 to 3.
Findings
Improved approximation ratio from 8 to 3 for MAF on k trees.
Extended approximation approach to the MAAF problem for phylogenetic networks.
Addresses reticulate evolution with hybrid nodes in phylogenetic analysis.
Abstract
Phylogenetic trees are leaf-labelled trees, where the leaves correspond to extant species (taxa), and the internal vertices represent ancestral species. The evolutionary history of a set of species can be explained by more than one phylogenetic tree, giving rise to the problem of comparing phylogenetic trees for similarity. Various distance metrics, like the subtree prune-and-regraft (SPR), tree bisection reconnection (TBR) and nearest neighbour interchange (NNI) have been proposed to capture this similarity. The distance between two phylogenetic trees can also be measured by the size of a Maximum Agreement Forest (MAF) on these trees, as it has been shown that the rooted subtree prune-and-regraft distance is 1 less than the size of a MAF. Since computing a MAF of minimum size is an NP-hard problem, approximation algorithms are of interest. Recently, it has been shown that the MAF on…
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Taxonomy
TopicsNatural Language Processing Techniques · Data Mining Algorithms and Applications · Topic Modeling
