Computer Science ›› 2014, Vol. 41 ›› Issue (2): 261-263.

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Simulation Algorithm for 454Pyrosequencing Sequencers

CHEN Wei,CHENG Yong-mei,ZHANG Shao-wu and PAN Quan   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Recent advance of environment genome and deep sequencing technologies has expanded our understanding of composition and structure of microbial community based on 16S rRNA gene sequences.However,the complexity and difficulty of separation of the environmental samples and lack of ground-truth make it difficult to analyze the microbes quantificationally.Thus,simulation datasets will be useful in developing novel softwares because it not only helps us explore the microbial structure quantitatively,but also allow us to construct benchmark studies for evaluating existing methods for processing 16S rRNA sequences data.In the present work,based on error-prone PCR model and making use of the normal distribution model,a simulation algorithm for 454sequencer (Tsim) was established to simulate the process of sequencing by synthesis.The simulation results show that the simulator can effectively simulate 454sequencing process.

Key words: 16S rRNA Gene,Simulation algorithm,PCR model,Normal distribution process,454sequencer

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