collaborators

9 papers

cs.DM2026

The -metric to compare phylogenetic networks

Marc Hellmuth, Manuel Lafond, Guillaume E. Scholz

We introduce two novel distances for comparing rooted phylogenetic networks based on the -operator, which removes a vertex while preserving the ancestor relations among th…

cs.DM2026

Novel Triple-Based Problems for the Construction of Phylogenetic Networks via Least Common Ancestors

Patricia A. Ebert, Anna Lindeberg, Marc Hellmuth

Evolutionary histories are often represented by rooted phylogenetic networks, whose leaves correspond to extant taxa and whose internal vertices represent ancestral lineages. Since…

cs.DM2026

Encoding Phylogenetic Networks with Least Common Ancestor Constraints

Marc Hellmuth, Anna Lindeberg, Vincent Moulton

Encoding phylogenetic networks by suitable substructures is a central problem in phylogenetic combinatorics. We study encodings based on least common ancestor (LCA) constraints. Fo…

math.CO2026

Inferring DAGs and Phylogenetic Networks from Least Common Ancestors

Anna Lindeberg, Anton Alfonsson, Vincent Moulton +2

A least common ancestor (LCA) of two leaves in a directed acyclic graph (DAG) is a vertex that is an ancestor of both leaves and has no proper descendant that is also their common…

q-bio.PE2026

Regularizing and Normalizing DAGs and Phylogenetic Networks

Marc Hellmuth, Anna Lindeberg, Vincent Moulton

Phylogenetic networks and, more generally, directed acyclic graphs (DAGs) represent hierarchical structure beyond trees, for instance in the presence of reticulate evolutionary eve…

math.CO2026

Global Least Common Ancestor (LCA) Networks

Anna Lindeberg, Bruno J. Schmidt, Manoj Changat +3

Directed acyclic graphs (DAGs) are fundamental structures used across many scientific fields. A key concept in DAGs is the least common ancestor (LCA), which plays a crucial role i…