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Extracting Conflict-free Information from Multi-labeled Trees

2012/05/29 by Akshay Deepak, Deepak, Akshay, David Fernández‐Baca +3
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Data Mining Algorithms and Applications #Data Structures and Algorithms (cs.DS) #FOS: Biological sciences #FOS: Computer and information sciences #Genomics and Phylogenetic Studies #Populations and Evolution (q-bio.PE)

paper · pdf · doi:10.48550/arxiv.1205.6359

openalex publication_date 2012/05/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

A multi-labeled tree, or MUL-tree, is a phylogenetic tree where two or more leaves share a label, e.g., a species name. A MUL-tree can imply multiple conflicting phylogenetic relationships for the same set of taxa, but can also contain conflict-free information that is of interest and yet is not obvious. We define the information content of a MUL-tree T as the set of all conflict-free quartet topologies implied by T, and define the maximal reduced form of T as the smallest tree that can be obtained from T by pruning leaves and contracting edges while retaining the same information content. We show that any two MUL-trees with the same information content exhibit the same reduced form. This introduces an equivalence relation in MUL-trees with potential applications to comparing MUL-trees. We present an efficient algorithm to reduce a MUL-tree to its maximally reduced form and evaluate its performance on empirical datasets in terms of both quality of the reduced tree and the degree of data reduction achieved.

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