Fuzzy indication of reliability in metagenomics NGS data analysis

Abstract

NGS data processing in metagenomics studies has to deal with noisy data that can contain a large amount of reading errors which are difficult to detect and account for. This work introduces a fuzzy indicator of reliability technique to facilitate solutions to this problem. It includes modified Hamming and Levenshtein distance functions that are aimed to be… (More)
DOI: 10.1016/j.procs.2015.05.448

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Cite this paper

@inproceedings{Krachunov2015FuzzyIO, title={Fuzzy indication of reliability in metagenomics NGS data analysis}, author={Milko Krachunov and Dimitar Vassilev and Maria Nisheva-Pavlova and Ognyan Kulev and Valeriya Simeonova and Vladimir T. Dimitrov}, booktitle={ICCS}, year={2015} }