Abstract
Abstract Motivation: Next-generation sequencing produces vast amounts of data with errors that are difficult to distinguish from true biological variation when coverage is low. Results: We demonstrate large reductions in error frequencies, especially for high-error-rate reads, by three independent means: (i) filtering reads according to their expected number of errors, (ii) assembling overlapping read pairs and (iii) for amplicon reads, by exploiting unique sequence abundances to perform error correction. We also show that most published paired read assemblers calculate incorrect posterior quality scores. Availability and implementation: These methods are implemented in the USEARCH package. Binaries are freely available at http://drive5.com/usearch. Contact: robert@drive5.com Supplementary information: Supplementary data are available at Bioinformatics online.
Keywords
Computer scienceWord error rateError detection and correctionSequence (biology)Amplicon sequencingAmpliconSoftwareAlgorithmData miningArtificial intelligenceBiologyGeneticsProgramming language
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Publication Info
- Year
- 2015
- Type
- article
- Volume
- 31
- Issue
- 21
- Pages
- 3476-3482
- Citations
- 1267
- Access
- Closed
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Cite This
R. C. Edgar,
Henrik Flyvbjerg
(2015).
Error filtering, pair assembly and error correction for next-generation sequencing reads.
Bioinformatics
, 31
(21)
, 3476-3482.
https://doi.org/10.1093/bioinformatics/btv401
Identifiers
- DOI
- 10.1093/bioinformatics/btv401