Data and code supporting: Simulations corroborate telegraph model predictions for the extension distributions of nanochannel confined DNA

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2018-10-18
2019-05-10

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2019-06-01

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Data and code supporting: Simulations corroborate telegraph model predictions for the extension distributions of nanochannel confined DNA

Published Date

2019-08-12

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Dorfman, Kevin D
dorfman@umn.edu

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Abstract

Hairpins in the conformation of DNA confined in nanochannels close to their persistence length cause the distribution of their fractional extensions to be heavily left skewed. A recent theory rationalizes these skewed distributions using a correlated telegraph process, which can be solved exactly in the asymptotic limit of small but frequent hairpin formation. Pruned-enriched Rosenbluth method simulations of the fractional extension distribution for a channel-confined wormlike chain confirm the predictions of the telegraph model. Remarkably, the asymptotic result of the telegraph model remains robust well outside the asymptotic limit. As a result, the approximations in the theory required to map it to the polymer model and solve it in the asymptotic limit are not the source of discrepancies between the predictions of the telegraph model and experimental distributions of the extensions of DNA during genome mapping. The agreement between theory and simulations motivates future work to determine the source of the remaining discrepancies between the predictions of the telegraph model and experimental distributions of the extensions of DNA in nanochannels used for genome mapping.

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Bhandari, A. B., & Dorfman, K. D. (2019). Simulations corroborate telegraph model predictions for the extension distributions of nanochannel confined DNA. Biomicrofluidics, 13(4), 044110.
https://doi.org/10.1063/1.5109566

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NIH R01-HG006851

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Bhandari, Aditya Bikram; Dorfman, Kevin D. (2019). Data and code supporting: Simulations corroborate telegraph model predictions for the extension distributions of nanochannel confined DNA. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/ZVCG-0M25.
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archive_v2.zipData, Matlab Code, and Figures216.17 MB

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