The classical theory of solid‐state transformation based on nucleation and growth processes, developed by Kolmogorov, Johnson and Mehl, and Avrami (KJMA theory), is …
Y Gindin, MS Valenzuela, MI Aladjem… - Molecular systems …, 2014 - embopress.org
The metazoan genome is replicated in precise cell lineage‐specific temporal order. However, the mechanism controlling this orchestrated process is poorly understood as no …
H Julienne, A Zoufir, B Audit… - PLoS computational …, 2013 - journals.plos.org
Advances in genomic studies have led to significant progress in understanding the epigenetically controlled interplay between chromatin structure and nuclear functions …
DNA replication in eukaryotes is achieved by the activation of multiple replication origins which needs to be precisely coordinated in space and time. This spatio-temporal replication …
B Audit, A Baker, CL Chen, A Rappailles, G Guilbaud… - Nature protocols, 2013 - nature.com
In this protocol, we describe the use of the LastWave open-source signal-processing command language (http://perso. ens-lyon. fr/benjamin. audit/LastWave/) for analyzing …
RE Boulos, G Drillon, F Argoul, A Arneodo, B Audit - FEBS letters, 2015 - Elsevier
Recent analysis of genome-wide epigenetic modification data, mean replication timing (MRT) profiles and chromosome conformation data in mammals have provided increasing …
Biological cells replicate their genomes in a well-planned manner. The DNA replication program of an organism determines the timing at which different genomic regions are …
R Yousefi, M Rowicka - PLoS computational biology, 2019 - journals.plos.org
Eukaryotic DNA replication is elaborately orchestrated to duplicate the genome timely and faithfully. Replication initiates at multiple origins from which replication forks emanate and …
Q Zhang, F Bassetti, M Gherardi… - Nucleic acids …, 2017 - academic.oup.com
Genome replication, a key process for a cell, relies on stochastic initiation by replication origins, causing a variability of replication timing from cell to cell. While stochastic models of …