biostudies-literatureOliveira GMEuropean Research Council6184https://www.ebi.ac.uk/biostudies/studies/S-EPMC8548522biostudies-literatureUnknown12(1)The spatiotemporal organization of chromatin influences many nuclear processes: from chromosome segregation to transcriptional regulation. To get a deeper understanding of these processes, it is essential to go beyond static viewpoints of chromosome structures, to accurately characterize chromatin's diffusion properties. We present GP-FBM: a computational framework based on Gaussian processes and fractional Brownian motion to extract diffusion properties from stochastic trajectories of labeled chromatin loci. GP-FBM uses higher-order temporal correlations present in the data, therefore, outperforming existing methods. Furthermore, GP-FBM allows to interpolate incomplete trajectories and account for substrate movement when two or more particles are present. Using our method, we show that avNature communicationsPrecise measurements of chromatin diffusion dynamics by modeling using Gaussian processes.PMC8548522678624Sexton TMolina NBystricky KOliveira GMKobi DMaroquenne MOravecz AfalsePrecise measurements of chromatin diffusion dynamics by modeling using Gaussian processes.The spatiotemporal organization of chromatin influences many nuclear processes: from chromosome segregation to transcriptional regulation. To get a deeper understanding of these processes, it is essential to go beyond static viewpoints of chromosome structures, to accurately characterize chromatin's diffusion properties. We present GP-FBM: a computational framework based on Gaussian processes and fractional Brownian motion to extract diffusion properties from stochastic trajectories of labeled chromatin loci. GP-FBM uses higher-order temporal correlations present in the data, therefore, outperforming existing methods. Furthermore, GP-FBM allows to interpolate incomplete trajectories and account for substrate movement when two or more particles are present. Using our method, we show that av2021-01-01T00:00:00Z2021 Oct2026-07-16T15:07:13.485Z2026-07-09T11:03:49.962ZS-EPMC85485223470282110.1038/s41467-021-26466-7