Fiona: a parallel and automatic strategy for read error correction

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… (More)
DOI: 10.1093/bioinformatics/btu440

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Cite this paper

@inproceedings{Schulz2014FionaAP, title={Fiona: a parallel and automatic strategy for read error correction}, author={Marcel H. Schulz and David Weese and Manuel Holtgrewe and Viktoria Dimitrova and Sijia Niu and Knut Reinert and Hugues Richard}, booktitle={Bioinformatics}, year={2014} }