ArticleAlgorithms for molecular biology : AMB2019
Reconciling multiple genes trees via segmental duplications and losses.
Article in Algorithms for molecular biology : AMB, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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
9 citing papers in PubMed.
- Quantifying the Influence of Genetic Context on Duplicated Mammalian Genes.Molecular biology and evolution · 2026Article
- FullSynesth: Syntenic Reconciliation of a Set of Consistent Gene Trees.Theory of computing systems · 2026Article
- The path-label reconciliation (PLR) dissimilarity measure for gene trees.Algorithms for molecular biology : AMB · 2025Article
- Quantifying the influence of genetic context on duplicated mammalian genes.bioRxiv : the preprint server for biology · 2025Article
- Unifying duplication episode clustering and gene-species mapping inference.Algorithms for molecular biology : AMB · 2024Article
- Phylogenetic reconciliation.PLoS computational biology · 2022Article
- Improved inference of tandem domain duplications.Bioinformatics (Oxford, England) · 2021Article
- FastMulRFS: fast and accurate species tree estimation under generic gene duplication and loss models.Bioinformatics (Oxford, England) · 2020Article
- Evolution through segmental duplications and losses: a Super-Reconciliation approach.Algorithms for molecular biology : AMB · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reconciling gene trees with a species tree is a fundamental problem to understand the evolution of gene families. Many existing approaches reconcile each gene tree independently. However, it is well-known that the evolution of gene families is interconnected. In this paper, we extend a previous approach to reconcile a set of gene trees with a species tree based on segmental macro-evolutionary events, where segmental duplication events and losses are associated with cost
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