Precise measurements of chromatin diffusion dynamics by modeling using Gaussian processes.

ABSTRACT: 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 av

SUBMITTER: Oliveira GM 

PROVIDER: S-EPMC8548522 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature