activity
20172022
most citedA branching process with coalescence to model random phylogenetic networks

5 citations · 5 across the 1 of their papers we have counts for

collaborators

6 papers

math.PR2022★ 5 cited

A branching process with coalescence to model random phylogenetic networks

François Bienvenu, Jean-Jil Duchamps

We introduce a biologically natural, mathematically tractable model of random phylogenetic network to describe evolution in the presence of hybridization. One of the features of th…

q-bio.PE2020

Revisiting Shao and Sokal's index of phylogenetic balance

François Bienvenu, Gabriel Cardona, Celine Scornavacca

Measures of phylogenetic balance, such as the Colless and Sackin indices, play an important role in phylogenetics. Unfortunately, these indices are specifically designed for phylog…

math.PR2020

Combinatorial and stochastic properties of ranked tree-child networks

François Bienvenu, Amaury Lambert, Mike Steel

Tree-child networks are a recently-described class of directed acyclic graphs that have risen to prominence in phylogenetics (the study of evolutionary trees and networks). Althoug…

math.PR2019

The Moran forest

François Bienvenu, Jean-Jil Duchamps, Félix Foutel-Rodier

Starting from any graph on , consider the Markov chain where at each time-step a uniformly chosen vertex is disconnected from all of its neighbors and reconnected…

math.PR2017

Positive association of the oriented percolation cluster in randomly oriented graphs

François Bienvenu

Consider any fixed graph whose edges have been randomly and independently oriented, and write to indicate that there is an oriented path going from a vertex $s \…

math.PR2017

The split-and-drift random graph, a null model for speciation

François Bienvenu, Florence Débarre, Amaury Lambert

We introduce a new random graph model motivated by biological questions relating to speciation. This random graph is defined as the stationary distribution of a Markov chain on the…