BibTeX

@article{2509.00200v1,
Author        = {Eloïse Touron and Pedro L. C. Rodrigues and Julyan Arbel and Nelle Varoquaux and Michael Arbel},
Title         = {Simulation-based inference of yeast centromeres},
Eprint        = {2509.00200v1},
ArchivePrefix = {arXiv},
PrimaryClass  = {stat.ML},
Abstract      = {The chromatin folding and the spatial arrangement of chromosomes in the cell
play a crucial role in DNA replication and genes expression. An improper
chromatin folding could lead to malfunctions and, over time, diseases. For
eukaryotes, centromeres are essential for proper chromosome segregation and
folding. Despite extensive research using de novo sequencing of genomes and
annotation analysis, centromere locations in yeasts remain difficult to infer
and are still unknown in most species. Recently, genome-wide chromosome
conformation capture coupled with next-generation sequencing (Hi-C) has become
one of the leading methods to investigate chromosome structures. Some recent
studies have used Hi-C data to give a point estimate of each centromere, but
those approaches highly rely on a good pre-localization. Here, we present a
novel approach that infers in a stochastic manner the locations of all
centromeres in budding yeast based on both the experimental Hi-C map and
simulated contact maps.},
Year          = {2025},
Month         = {Aug},
Url           = {http://arxiv.org/abs/2509.00200v1},
File          = {2509.00200v1.pdf}
}