Abstract
Motivation: DNA N6-methyladenine (6 mA) has recently been found as an essential epigenetic modification, playing its roles in a variety of cellular processes. The abnormal status of DNA 6 mA modification has been reported in cancer and other disease. The annotation of 6 mA marks in genome is the first crucial step to explore the underlying molecular mechanisms including its regulatory roles. Results: We present a novel online DNA 6 mA site tool, 6 mA-Finder, by incorporating seven sequence-derived information and three physicochemical-based features through recursive feature elimination strategy. Our multiple cross-validations indicate the promising accuracy and robustness of our model. 6 mA-Finder outperforms its peer tools in general and species-specific 6 mA site prediction, suggesting it can provide a useful resource for further experimental investigation of DNA 6 mA modification.
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CITATION STYLE
Xu, H., Hu, R., Jia, P., & Zhao, Z. (2020). 6mA-Finder: A novel online tool for predicting DNA N6-methyladenine sites in genomes. Bioinformatics, 36(10), 3257–3259. https://doi.org/10.1093/bioinformatics/btaa113
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