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Inferring DNA sequences from mechanical unzipping: an ideal-case study | | V. Baldazzi
; S. Cocco
; E. Marinari
; R. Monasson
; | | Date: |
9 Jun 2005 | | Subject: | Disordered Systems and Neural Networks; Statistical Mechanics; Quantitative Methods | cond-mat.dis-nn cond-mat.stat-mech q-bio.QM | | Abstract: | 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. | | Source: | arXiv, cond-mat/0506221 | | Services: | Forum | Review | PDF | Favorites | |
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