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Description
This book constitutes the proceedings of the 23rd International Conference on Comparative Genomics, RECOMB-CG 2026, held in Thessaloniki, Greece, during May 24 25, 2026.
The 19 full papers presented in this book were carefully reviewed and selected from 36 submissions. The papers are divided into the following topical sections: Combinatorics of Genome Rearrangements; Genome Evolution and Reconstruction; Phylogenetics I: Inferring Gene and Species Histories; Phylogenetics II: Comparing and Evaluating Phylogenies; Machine Learning in Genomics.
.- Combinatorics of Genome Rearrangements.
.- Time Complexity and Relaxation Gap for the Rank Median of Three Genomes.
.- Quantifying the Rearrangement Complexity of Pangenomes.
.- Breakpoint Medians and Antimedians for Signed Genomes.
.- Genome Evolution and Reconstruction.
.- Reconstructing the Constituent Genomes of the Ancestral Angiosperm Pangenome.
.- A Multi-flow Approach for Binning Circular Plasmids from Short-reads Assembly Graphs.
.- Modeling the Mutational Dynamics of Very Short Tandem Repeats.
.- Phylogenetics I: Inferring Gene and Species Histories.
.- Theoretical and Empirical Performance of Pseudo-likelihood-based Bayesian Inference of Species Trees under the Multispecies Coalescent.
.- wQFM-GDL Enables Accurate Quartet-based Genome-scale Species Tree Inference Under Gene Duplication and Loss.
.- On the Consistency of Duplication, Loss, and Deep Coalescence Gene Tree Parsimony Costs under the Multispecies Coalescent.
.- Gene Repertoire Evolution Minimizing Episodes of Gains and Losses.
.- Phylogenetics II: Comparing and Evaluating Phylogenies.
.- Similarities, Differences and Biases in Cophylogenetic Models for Host-Symbiont Coevolution.
.- Gabriele Di Palma, Catherine Matias and Blerina Sinaimeri On the Comparison of LGT Networks and Tree-based Networks.
.- k-Nearest Common Leaves Algorithm for Phylogenetic Tree Completion.
.- Cherry Picking Distance Between Binary Orchards Parameterized by Level.
.- Machine Learning in Genomics.
.- DipGNNome: Diploid de novo Genome Assembly with Geometric Deep Learning and Beam-search.
.- GNNome-Decision: Enhancing GNN Training for de novo Genome Assembly by Targeting Decision Nodes.
.- FIREFLY: PHYlogeny-informed REpresentation Learning to Estimate PHyLogenetic dIstances.
.- Detecting Outlier Subtrees of Gene Trees Using SPR Moves and Machine Learning.
.- Frustratingly Easy Domain Adaptation for Cross-species Transcription Factor Binding Prediction.
