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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Accuracy and quality of massively parallel DNA pyrosequencing. | Open Access Research Accuracy and quality of massively parallel DNA pyrosequencing Susan M Huse Julie A Huber Hilary G Morrison Mitchell L Sogin and David Mark Welch Address Josephine Bay Paul Center Marine Biological Laboratory at Woods Hole MBL Street Woods Hole MA 02543 USA. Correspondence Mitchell L Sogin. Email sogin@mbl.edu Published 20 July 2007 Genome Biology 2007 8 R143 doi 10.1186 gb-2007-8-7-r143 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2007 8 7 R143 Received 1 March 2007 Revised 2 May 2007 Accepted 20 July 2007 2007 Huse et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Massively parallel pyrosequencing systems have increased the efficiency of DNA sequencing although the published per-base accuracy of a Roche GS20 is only 96 . In genome projects highly redundant consensus assemblies can compensate for sequencing errors. In contrast studies of microbial diversity that catalogue differences between PCR amplicons of ribosomal RNA genes rDNA or other conserved gene families cannot take advantage of consensus assemblies to detect and minimize incorrect base calls. Results We performed an empirical study of the per-base error rate for the Roche GS20 system using sequences of the V6 hypervariable region from cloned microbial ribosomal DNA tag sequencing . We calculated a 99.5 accuracy rate in unassembled sequences and identified several factors that can be used to remove a small percentage of low-quality reads improving the accuracy to 99.75 or better. Conclusion By using objective criteria to eliminate low quality data the quality of individual GS20 sequence reads in molecular ecological applications can surpass the accuracy .
