Inference of DNA sequences from mechanical unzipping: an ideal-case study.
The performances of Bayesian inference to predict the sequence of DNA molecules from fixed-force unzipping experiments are investigated. We show that the probability of misprediction decreases exponentially with the amount of collected data. The decay rate is calculated as a function of biochemical parameters (binding free energies), the sequence content, the applied force, the elastic properties of a DNA single strand, and time resolution.
Baldazzi
V
V
Dipartimento di Fisica, Università di Roma Tor Vergata, Roma, Italy.
Cocco
S
S
Marinari
E
E
Monasson
R
R
D010582:Bacteriophage lambda / Q000737:chemistry / Q000235:genetics; D001483:Base Sequence; D001499:Bayes Theorem; D055592:Biophysical Phenomena; D001703:Biophysics; D004247:DNA / Q000737:chemistry / Q000235:genetics*; D004279:DNA, Viral / Q000737:chemistry / Q000235:genetics; D004548:Elasticity; D015233:Models, Statistical; D017422:Sequence Analysis, DNA / Q000379:methods* / Q000706:statistics & numerical data; D013816:Thermodynamics
D004279:DNA, Viral; D004247:DNA