Céline Scornavacca

The effect of gene tree dependence on summary methods for speciestree inference

This paper evaluates how gene tree dependence affects species tree inference accuracy using ASTRAL, finding that dependence reduces effective sample size but does not require full independence for accurate results.

Rehabilitating the benefits of gene tree correction in the presence of incomplete lineage sorting

The paper challenges the claim that gene tree correction methods cause overfitting and shows they can still provide benefits despite incomplete lineage sorting.

Pangolin genomes offer key insights and resources for the world's most trafficked wild mammals

This paper presents genomic resources for pangolins, including reference genomes and orthologous gene databases, to aid in conservation and forensic efforts.

NetRAX: Accurate and Fast Maximum Likelihood Phylogenetic Network Inference

NetRAX infers maximum likelihood phylogenetic networks without incomplete lineage sorting, efficiently handling larger datasets than existing tools.

Treerecs: an integrated phylogenetic tool, from sequences to reconciliations

Treerecs is a phylogenetic software that performs duplication-loss reconciliation to root gene trees and correct alignment uncertainties.

ASTRAL-Pro: quartet-based species tree inference despite paralogy

ASTRAL-Pro improves species tree inference by handling gene duplication and loss, outperforming existing methods in complex scenarios.