Titlebook: Comparative Genomics; 21st International C Celine Scornavacca,Maribel Hernández-Rosales Conference proceedings 2024 The Editor(s) (if appli

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978-3-031-58071-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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https://doi.org/10.1007/978-981-19-6880-8, allowing for multiple crossover events. Thus, each SNP is assumed to have evolved under the infinite sites assumption down some tree inside the phylogenetic network. We prove that level-1 phylogenetic networks can be reconstructed uniquely from any set of SNPs that cover all bipartitions of the ro

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https://doi.org/10.1007/978-981-15-2407-3 useful for this task. Notably, . (PTN) explain the character diversity of a set of taxa for traits that are gained once, rarely lost, but that can be transferred laterally. Characterizing the structure of such characters is an important step towards understanding more complex characters. Although e

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Volodymyr Babaev,Valeriy Shmukler,Yurii Krulplications and losses. . implements a new graph-based approach to identify orthogroups, orthology, and paralogy relationships first, and it uses this information in a second step to infer event-labeled gene trees and their reconciliation with an inferred species tree. It avoids using gene trees and

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https://doi.org/10.1007/978-3-658-00523-8eage sorting (ILS) and gene duplication and loss (GDL). Gene tree parsimony (GTP) is a popular approach for estimating species trees that seeks to minimize the number of evolutionary events required to reconcile the species tree with gene trees. Minimizing gene duplication and loss (MGD and MGDL) ar

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Exploring social capital in Poland,, most existing methods for microbial phylogenomics can only make use of a small subset of the gene families present in the microbial genomes under consideration, potentially biasing their results and affecting their accuracy. One well-known approach for truly genome-scale phylogenomics is gene tree

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https://doi.org/10.1007/978-94-009-2425-3ticular, graphs are structures widely used for the purpose of representing information retrieved from genomes. The breakpoint graph is a useful tool in this area because it allows representing in the same structure the gene orders of two genomes being compared. The maximum cycle decomposition of thi

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