Comparison of sequence reads obtained from three next-generation sequencing platforms.

Next-generation sequencing technologies enable the rapid cost-effective production of sequence data. To evaluate the performance of these sequencing technologies, investigation of the quality of sequence reads obtained from these methods is important. In this study, we analyzed the quality of sequen...

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Autores principales: Shingo Suzuki, Naoaki Ono, Chikara Furusawa, Bei-Wen Ying, Tetsuya Yomo
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Publicado: Public Library of Science (PLoS) 2011
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Acceso en línea:https://doaj.org/article/15678aee2ddd4bed95e911b6e82ec463
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spelling oai:doaj.org-article:15678aee2ddd4bed95e911b6e82ec4632021-11-18T06:53:51ZComparison of sequence reads obtained from three next-generation sequencing platforms.1932-620310.1371/journal.pone.0019534https://doaj.org/article/15678aee2ddd4bed95e911b6e82ec4632011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21611185/?tool=EBIhttps://doaj.org/toc/1932-6203Next-generation sequencing technologies enable the rapid cost-effective production of sequence data. To evaluate the performance of these sequencing technologies, investigation of the quality of sequence reads obtained from these methods is important. In this study, we analyzed the quality of sequence reads and SNP detection performance using three commercially available next-generation sequencers, i.e., Roche Genome Sequencer FLX System (FLX), Illumina Genome Analyzer (GA), and Applied Biosystems SOLiD system (SOLiD). A common genomic DNA sample obtained from Escherichia coli strain DH1 was applied to these sequencers. The obtained sequence reads were aligned to the complete genome sequence of E. coli DH1, to evaluate the accuracy and sequence bias of these sequence methods. We found that the fraction of "junk" data, which could not be aligned to the reference genome, was largest in the data set of SOLiD, in which about half of reads could not be aligned. Among data sets after alignment to the reference, sequence accuracy was poorest in GA data sets, suggesting relatively low fidelity of the elongation reaction in the GA method. Furthermore, by aligning the sequence reads to the E. coli strain W3110, we screened sequence differences between two E. coli strains using data sets of three different next-generation platforms. The results revealed that the detected sequence differences were similar among these three methods, while the sequence coverage required for the detection was significantly small in the FLX data set. These results provided valuable information on the quality of short sequence reads and the performance of SNP detection in three next-generation sequencing platforms.Shingo SuzukiNaoaki OnoChikara FurusawaBei-Wen YingTetsuya YomoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 5, p e19534 (2011)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Shingo Suzuki
Naoaki Ono
Chikara Furusawa
Bei-Wen Ying
Tetsuya Yomo
Comparison of sequence reads obtained from three next-generation sequencing platforms.
description Next-generation sequencing technologies enable the rapid cost-effective production of sequence data. To evaluate the performance of these sequencing technologies, investigation of the quality of sequence reads obtained from these methods is important. In this study, we analyzed the quality of sequence reads and SNP detection performance using three commercially available next-generation sequencers, i.e., Roche Genome Sequencer FLX System (FLX), Illumina Genome Analyzer (GA), and Applied Biosystems SOLiD system (SOLiD). A common genomic DNA sample obtained from Escherichia coli strain DH1 was applied to these sequencers. The obtained sequence reads were aligned to the complete genome sequence of E. coli DH1, to evaluate the accuracy and sequence bias of these sequence methods. We found that the fraction of "junk" data, which could not be aligned to the reference genome, was largest in the data set of SOLiD, in which about half of reads could not be aligned. Among data sets after alignment to the reference, sequence accuracy was poorest in GA data sets, suggesting relatively low fidelity of the elongation reaction in the GA method. Furthermore, by aligning the sequence reads to the E. coli strain W3110, we screened sequence differences between two E. coli strains using data sets of three different next-generation platforms. The results revealed that the detected sequence differences were similar among these three methods, while the sequence coverage required for the detection was significantly small in the FLX data set. These results provided valuable information on the quality of short sequence reads and the performance of SNP detection in three next-generation sequencing platforms.
format article
author Shingo Suzuki
Naoaki Ono
Chikara Furusawa
Bei-Wen Ying
Tetsuya Yomo
author_facet Shingo Suzuki
Naoaki Ono
Chikara Furusawa
Bei-Wen Ying
Tetsuya Yomo
author_sort Shingo Suzuki
title Comparison of sequence reads obtained from three next-generation sequencing platforms.
title_short Comparison of sequence reads obtained from three next-generation sequencing platforms.
title_full Comparison of sequence reads obtained from three next-generation sequencing platforms.
title_fullStr Comparison of sequence reads obtained from three next-generation sequencing platforms.
title_full_unstemmed Comparison of sequence reads obtained from three next-generation sequencing platforms.
title_sort comparison of sequence reads obtained from three next-generation sequencing platforms.
publisher Public Library of Science (PLoS)
publishDate 2011
url https://doaj.org/article/15678aee2ddd4bed95e911b6e82ec463
work_keys_str_mv AT shingosuzuki comparisonofsequencereadsobtainedfromthreenextgenerationsequencingplatforms
AT naoakiono comparisonofsequencereadsobtainedfromthreenextgenerationsequencingplatforms
AT chikarafurusawa comparisonofsequencereadsobtainedfromthreenextgenerationsequencingplatforms
AT beiwenying comparisonofsequencereadsobtainedfromthreenextgenerationsequencingplatforms
AT tetsuyayomo comparisonofsequencereadsobtainedfromthreenextgenerationsequencingplatforms
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