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

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arxiv cond-mat/0506221 v2 pith:O6UGXVND submitted 2005-06-09 cond-mat.dis-nn cond-mat.stat-mechq-bio.QM

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

V. Baldazzi , S. Cocco , E. Marinari , R. Monasson This is my paper
classification cond-mat.dis-nn cond-mat.stat-mechq-bio.QM
keywords methodsequenceunzippingalgorithmappliedbayesiancontentdecay
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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