A sequential Monte Carlo base-calling method for next-generation dna sequencing
GENSiPS（2011）
摘要
Recent development of next-generation sequencing platforms has dramatically increased the efficiency of obtaining genomic data. Their accuracy, reliability, and achievable read-lengths, however, often lag behind those of the conventional Sanger sequencing method. In this paper, we consider the Illumina sequencing platform and propose a novel DNA base-calling algorithm based on the sequential Monte Carlo method. It is demonstrated on experimental data that the developed algorithm is much faster than the best performing base-calling method currently available, while achieving similar accuracy.
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关键词
sequential monte carlo algorithm,sanger sequencing method,next-generation dna sequencing,genomic data,sequential monte carlo base-calling method,biology,base-calling,experimental data,monte carlo methods,data handling,illumina sequencing platform,dna,base calling,dna sequence,signal processing,next generation network,bioinformatics,sequential monte carlo,hidden markov models,next generation networking,next generation sequencing,hidden markov model,monte carlo method
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