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Statistical Inference for Nanopore Sequencing with a Biased Random Walk Model

Nanopore sequencing promises long read-lengths and single-molecule resolution, but the stochastic motion of the DNA molecule inside the pore is, as of this writing, a barrier to high accuracy reads. We develop a method of statistical inference that explicitly accounts for this error, and demonstrate...

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Detalhes bibliográficos
Publicado no:Biophys J
Main Authors: Emmett, Kevin J., Rosenstein, Jacob K., Meent, Jan-Willem van de, Shepard, Ken L., Wiggins, Chris H.
Formato: Artigo
Idioma:Inglês
Publicado em: The Biophysical Society 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4407257/
https://ncbi.nlm.nih.gov/pubmed/25902425
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.bpj.2015.03.013
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