Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150974
Title: iN6-methylat (5-step) : identifying DNA N⁶-methyladenine sites in rice genome using continuous bag of nucleobases via Chou's 5-step rule
Authors: Le, Nguyen Quoc Khanh
Keywords: Humanities::General
Issue Date: 2019
Source: Le, N. Q. K. (2019). iN6-methylat (5-step) : identifying DNA N⁶-methyladenine sites in rice genome using continuous bag of nucleobases via Chou's 5-step rule. Molecular Genetics and Genomics, 294(5), 1173-1182. https://dx.doi.org/10.1007/s00438-019-01570-y
Journal: Molecular Genetics and Genomics
Abstract: DNA N⁶-methyladenine is a non-canonical DNA modification that occurs in different eukaryotes at low levels and it has been identified as an extremely important function of life. Moreover, about 0.2% of adenines are marked by DNA N⁶-methyladenine in the rice genome, higher than in most of the other species. Therefore, the identification of them has become a very important area of study, especially in biological research. Despite the few computational tools employed to address this problem, there still requires a lot of efforts to improve their performance results. In this study, we treat DNA sequences by the continuous bags of nucleobases, including sub-word information of its biological words, which then serve as features to be fed into a support vector machine algorithm to identify them. Our model which uses this hybrid approach could identify DNA N⁶-methyladenine sites with achieved a jackknife test sensitivity of 86.48%, specificity of 89.09%, accuracy of 87.78%, and MCC of 0.756. Compared to the state-of-the-art predictor as well as the other methods, our proposed model is able to yield superior performance in all the metrics. Moreover, this study provides a basis for further research that can enrich a field of applying natural language-processing techniques in biological sequences.
URI: https://hdl.handle.net/10356/150974
ISSN: 1617-4615
DOI: 10.1007/s00438-019-01570-y
Rights: © 2019 Springer-Verlag GmbH Germany, part of Springer Nature. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SoH Journal Articles

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