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Oxford University Press (OUP), Bioinformatics, 17(30), p. i356-i363

DOI: 10.1093/bioinformatics/btu440

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Fiona: a parallel and automatic strategy for read error correction

Journal article published in 2014 by Marcel H. Schulz, David Weese, Manuel Holtgrewe, Viktoria Dimitrova, Sijia Niu, Knut Reinert, Hugues Richard ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: Automatic error correction of high-throughput sequencing data can have a dramatic impact on the amount of usable base pairs and their quality. It has been shown that the performance of tasks such as de novo genome assembly and SNP calling can be dramatically improved after read error correction. While a large number of methods specialized for correcting substitution errors as found in Illumina data exist, few methods for the correction of indel errors, common to technologies like 454 or Ion Torrent, have been proposed.