BMC Genomics · 2011 · 370 citations · 22 references
Life SciencesMolecular BiologyGenomic Data AnalysisGenomicsSequence AnalysisDna SequencingNext-generation SequencingNucleic Acid SequencingSequence Quality ControlError Rate AnalysisError Rate MetricsHomopolymer Error CorrectionQuality AssessmentSequence Error CorrectionSequencing Error CorrectionSequencing Quality Control
BACKGROUND: The rapid evolution of 454 GS-FLX sequencing technology has not been accompanied by a reassessment of the quality and accuracy of the sequences obtained. Current strategies for decision-making and error-correction are based on an initial analysis by Huse et al. in 2007, for the older GS20 system based on experimental sequences. We analyze here the quality of 454 sequencing data and identify factors playing a role in sequencing error, through the use of an extensive dataset for Roche control DNA fragments. RESULTS: We obtained a mean error rate for 454 sequences of 1.07%. More importantly, the error rate is not randomly distributed; it occasionally rose to more than 50% in certain positions, and its distribution was linked to several experimental variables. The main factors related to error are the presence of homopolymers, position in the sequence, size of the sequence and spatial localization in PT plates for insertion and deletion errors. These factors can be described by considering seven variables. No single variable can account for the error rate distribution, but most of the variation is explained by the combination of all seven variables. CONCLUSIONS: The pattern identified here calls for the use of internal controls and error-correcting base callers, to correct for errors, when available (e.g. when sequencing amplicons). For shotgun libraries, the use of both sequencing primers and deep coverage, combined with the use of random sequencing primer sites should partly compensate for even high error rates, although it may prove more difficult than previous thought to distinguish between low-frequency alleles and errors.
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Clustal W and Clustal X version 2.0
Mark Larkin, Gordon Blackshields, Nigel P. Brown et al. · Bioinformatics · 2007 · 29.1K citations · Full text
Genome sequencing in microfabricated high-density picolitre reactors
Marcel Margulies, William E. Altman, Said Attiya et al. · Nature · 2005 · 7.7K citations · Full text
The American Statistician · 1947 · 3.7K citations
Ironing out the wrinkles in the rare biosphere through improved OTU clustering
Susan M. Huse, David B. Mark Welch, Hilary G. Morrison et al. · Environmental Microbiology · 2010 · 1.4K citations · Full text
Life Sciences, Ecology, Microbiology +17