<p>Improving quality of error discovery in frequency estimation for parallel sequencing dataset</p>

Milko Krachunov; Dimitar Vassilev; Maria Nisheva; Ognyan Kulev; Valeriya Simeonova; Vladimir Dimitrov

doi:10.7490/f1000research.1110205.1

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Krachunov M, Vassilev D, Nisheva M et al. Improving quality of error discovery in frequency estimation for parallel sequencing dataset [version 1; not peer reviewed]. F1000Research 2015, 4(ISCB Comm J):452 (poster) (https://doi.org/10.7490/f1000research.1110205.1)

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Improving quality of error discovery in frequency estimation for parallel sequencing dataset

Milko Krachunov¹, Dimitar Vassilev, Maria Nisheva, Ognyan Kulev, Valeriya Simeonova, Vladimir Dimitrov

Published 02 Aug 2015 (https://doi.org/10.7490/f1000research.1110205.1)

Author Affiliations

¹ Sofia University 'St. Kliment Ohridski', Bulgaria

Copyright © 2015 Krachunov M et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 02 Aug 2015

Improving quality of error discovery in frequency estimation for parallel sequencing dataset
[version 1; not peer reviewed]

Milko Krachunov¹, Dimitar Vassilev, Maria Nisheva, Ognyan Kulev, Valeriya Simeonova, Vladimir Dimitrov

Author Affiliations

¹ Sofia University 'St. Kliment Ohridski', Bulgaria

Presented at

23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology 2015

Abstract

Competing Interests

No competing interests were disclosed

Keywords

error detection, metagenomics, neural networks

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