Title |
Improving alignment accuracy on homopolymer regions for semiconductor-based sequencing technologies
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Published in |
BMC Genomics, August 2016
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DOI | 10.1186/s12864-016-2894-9 |
Pubmed ID | |
Authors |
Weixing Feng, Sen Zhao, Dingkai Xue, Fengfei Song, Ziwei Li, Duojiao Chen, Bo He, Yangyang Hao, Yadong Wang, Yunlong Liu |
Abstract |
Ion Torrent and Ion Proton are semiconductor-based sequencing technologies that feature rapid sequencing speed and low upfront and operating costs, thanks to the avoidance of modified nucleotides and optical measurements. Despite of these advantages, however, Ion semiconductor sequencing technologies suffer much reduced sequencing accuracy at the genomic loci with homopolymer repeats of the same nucleotide. Such limitation significantly reduces its efficiency for the biological applications aiming at accurately identifying various genetic variants. In this study, we propose a Bayesian inference-based method that takes the advantage of the signal distributions of the electrical voltages that are measured for all the homopolymers of a fixed length. By cross-referencing the length of homopolymers in the reference genome and the voltage signal distribution derived from the experiment, the proposed integrated model significantly improves the alignment accuracy around the homopolymer regions. Besides improving alignment accuracy on homopolymer regions for semiconductor-based sequencing technologies with the proposed model, similar strategies can also be used on other high-throughput sequencing technologies that share similar limitations. |
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Norway | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
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Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
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Demographic breakdown
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Student > Ph. D. Student | 4 | 12% |
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Student > Bachelor | 3 | 9% |
Other | 2 | 6% |
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Unknown | 9 | 27% |
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Medicine and Dentistry | 3 | 9% |
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Unknown | 8 | 24% |