Base calling error rates in next-generation DNA sequencing

Statistical Signal Processing Workshop(2012)

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摘要
We study the problem of base calling in next-generation DNA sequencing platforms that rely on reversible terminator chemistry. After reviewing a statistical model of the generated signal and the Viterbi algorithm for finding the maximum-likelihood solution to the base calling problem, we present a closed form expression for the upper bound on the probability of base calling error. Simulation results demonstrate that the derived upper bound provides a useful characterization of the error rate performance of the considered sequencing platform.
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关键词
biology,statistical analysis,Viterbi algorithm,base calling error rates,error rate performance,maximum likelihood solution,next generation DNA sequencing,reversible terminator chemistry,statistical model
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