MeCorS: Metagenome-enabled error correction of single cell sequencing reads

Bremges A, Singer E, Woyke T, Sczyrba A (2016)
Bioinformatics 32(14): 2199-2201.

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
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Abstract / Bemerkung
UNLABELLED: We present a new tool, MeCorS, to correct chimeric reads and sequencing errors in Illumina data generated from single amplified genomes (SAGs). It uses sequence information derived from accompanying metagenome sequencing to accurately correct errors in SAG reads, even from ultra-low coverage regions. In evaluations on real data, we show that MeCorS outperforms BayesHammer, the most widely used state-of-the-art approach. MeCorS performs particularly well in correcting chimeric reads, which greatly improves both accuracy and contiguity of de novo SAG assemblies. AVAILABILITY AND IMPLEMENTATION: https://github.com/metagenomics/MeCorS CONTACT: abremges@cebitec.uni-bielefeld.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. The Author 2016. Published by Oxford University Press.
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Zeitschriftentitel
Bioinformatics
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32
Zeitschriftennummer
14
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2199-2201
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Bremges A, Singer E, Woyke T, Sczyrba A. MeCorS: Metagenome-enabled error correction of single cell sequencing reads. Bioinformatics. 2016;32(14):2199-2201.
Bremges, A., Singer, E., Woyke, T., & Sczyrba, A. (2016). MeCorS: Metagenome-enabled error correction of single cell sequencing reads. Bioinformatics, 32(14), 2199-2201. doi:10.1093/bioinformatics/btw144
Bremges, A., Singer, E., Woyke, T., and Sczyrba, A. (2016). MeCorS: Metagenome-enabled error correction of single cell sequencing reads. Bioinformatics 32, 2199-2201.
Bremges, A., et al., 2016. MeCorS: Metagenome-enabled error correction of single cell sequencing reads. Bioinformatics, 32(14), p 2199-2201.
A. Bremges, et al., “MeCorS: Metagenome-enabled error correction of single cell sequencing reads”, Bioinformatics, vol. 32, 2016, pp. 2199-2201.
Bremges, A., Singer, E., Woyke, T., Sczyrba, A.: MeCorS: Metagenome-enabled error correction of single cell sequencing reads. Bioinformatics. 32, 2199-2201 (2016).
Bremges, Andreas, Singer, Esther, Woyke, Tanja, and Sczyrba, Alexander. “MeCorS: Metagenome-enabled error correction of single cell sequencing reads”. Bioinformatics 32.14 (2016): 2199-2201.

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Next generation sequencing data of a defined microbial mock community.
Singer E, Andreopoulos B, Bowers RM, Lee J, Deshpande S, Chiniquy J, Ciobanu D, Klenk HP, Zane M, Daum C, Clum A, Cheng JF, Copeland A, Woyke T., Sci Data 3(), 2016
PMID: 27673566

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