Inferring DNA sequences from mechanical unzipping: an ideal-case study

Details Inferring DNA sequences from mechanical unzipping: an ideal-case study Inferring DNA sequences from mechanical unzipping: an ideal-case study

2005-06-09

arxiv.org/abs/cond-mat/0506221v2

Physics

Condensed Matter

Disordered Systems and Neural Networks

Source as TeX file with ps figures

Scientific paper

10.1103/PhysRevLett.96.128102

We introduce and test a method to predict the sequence of DNA molecules from
in silico unzipping experiments. The method is based on Bayesian inference and
on the Viterbi decoding algorithm. The probability of misprediction decreases
exponentially with the number of unzippings, with a decay rate depending on the
applied force and the sequence content.

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