{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Oliveira GM"],"funding":["European Research Council"],"pagination":["6184"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8548522"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(1)"],"pubmed_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"],"journal":["Nature communications"],"pubmed_title":["Precise measurements of chromatin diffusion dynamics by modeling using Gaussian processes."],"pmcid":["PMC8548522"],"funding_grant_id":["678624"],"pubmed_authors":["Sexton T","Molina N","Bystricky K","Oliveira GM","Kobi D","Maroquenne M","Oravecz A"],"additional_accession":[]},"is_claimable":false,"name":"Precise measurements of chromatin diffusion dynamics by modeling using Gaussian processes.","description":"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","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Oct","modification":"2026-07-16T15:07:13.485Z","creation":"2026-07-09T11:03:49.962Z"},"accession":"S-EPMC8548522","cross_references":{"pubmed":["34702821"],"doi":["10.1038/s41467-021-26466-7"]}}