Jean‐Michel Arbona

The paper develops a method to create high-resolution single-molecule replication maps of the human genome using multipulse BrdU labelling and ForkML.

The paper models the spatial organization of replicated chromosomes in yeast, finding that cohesion between sister chromatids is asymmetric and loosely aligned.

This paper introduces a Bayesian model for DNA replication that infers origin timing and activation delays using RFD data, revealing 150 origins with significant delays in yeast.

This paper extends Modular Response Analysis to account for global perturbations and improves robustness in inferring gene regulatory networks.

The paper models DNA replication in yeast to show replication-dependent spatial patterns and chromatin dynamics in the nucleus.

Nanotiming provides high-resolution telomere-to-telomere replication timing profiles using nanopore sequencing, validated in yeast with cost and simplicity advantages.

The paper develops a computational framework to model DNA replication dynamics and their impact on chromosome organization, showing replication-dependent loop extrusion and sister chromatid interactions in yeast.

FORK-seq maps DNA replication at single-molecule resolution in yeast, revealing previously missed initiation and termination events.

The paper uses nanopore sequencing and a neural network to identify BrdU-labelled DNA tracts in yeast during replication, showing they align with early-firing origins.