J
John Bechhoefer
Researcher at Simon Fraser University
Publications - 139
Citations - 8411
John Bechhoefer is an academic researcher from Simon Fraser University. The author has contributed to research in topics: DNA replication & Liquid crystal. The author has an hindex of 36, co-authored 133 publications receiving 7487 citations. Previous affiliations of John Bechhoefer include University of Chicago & University of British Columbia.
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Journal ArticleDOI
Genome-wide mapping of human DNA replication by optical replication mapping supports a stochastic model of eukaryotic replication.
Weitao Wang,Kyle N. Klein,Karel Proesmans,Hongbo Yang,Claire Marchal,Xiaopeng Zhu,Tyler M. Borrman,Alex Hastie,Zhiping Weng,John Bechhoefer,Chun-Long Chen,Chun-Long Chen,David M. Gilbert,Nicholas Rhind +13 more
TL;DR: In this article, the authors used optical replication mapping (ORM) to map early-initiation events in human cells and found that the distribution of human replication initiation is consistent with inefficient, stochastic activation of heterogeneously distributed potential initiation complexes enriched in accessible chromatin.
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Instabilities of a moving nematic-isotropic interface.
TL;DR: A moving nematic-isotropic interface is subject to several instabilities, some of which are traceable to phenomena typical of liquid crystals; others are tentatively identified with a Mullins-Sekerka instability as mentioned in this paper.
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How Xenopus laevis replicates DNA reliably even though its origins of replication are located and initiated stochastically.
TL;DR: It is shown that the experimentally observed initiation strategy for Xenopus laevis meets the reliability constraint and is close to the one that requires the fewest resources of a cell.
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Brownian motion in a modulated optical trap
TL;DR: In this article, the effects of modulating laser power on the motion of the trapped particle were investigated and no evidence for any resonant effects in the extremely overdamped motion of trapped particle was found.
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Optimal finite-time bit erasure under full control.
TL;DR: This work focuses on setups that provide full control over the form of the potential-energy landscape and derive protocols that minimize the average work needed to erase the bit over a fixed amount of time.