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. 2015 Mar 15;16(1):88. doi: 10.1186/s12859-015-0520-5

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© Mysara et al.; licensee BioMed Central. 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Effect of denoising algorithms with respect to position in read. A) Plot showing the error rate versus the position in the read after being treated with different denoising algorithms, including: Acacia (orange), Denoiser (blue), SLP (Green), AmpliconNoise (violet) and NoDe (red), with the raw error rate in black. B) Plots showing the insertion (upper), deletion (middle) and substitution (lower) error rates produced in the raw reads (black), as well as after being treated by different approaches, versus the position in the read.