School of Biomedical Informatics, Center for Precision Health.
MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA.
Bioinformatics. 2020 May 1;36(10):3257-3259. doi: 10.1093/bioinformatics/btaa113.
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.
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.
https://bioinfo.uth.edu/6mA_Finder.
Supplementary data are available at Bioinformatics online.
最近发现 DNA N6-甲基腺嘌呤（6mA）是一种重要的表观遗传修饰，在多种细胞过程中发挥作用。在癌症和其他疾病中，已经报道了 DNA 6mA 修饰的异常状态。基因组中 6mA 标记的注释是探索包括其调控作用在内的潜在分子机制的第一步关键步骤。
我们通过递归特征消除策略，将七个序列衍生信息和三个基于物理化学的特征结合起来，提出了一种新颖的在线 DNA 6mA 位点工具 6mA-Finder。我们的多项交叉验证表明，我们的模型具有有前途的准确性和稳健性。6mA-Finder 在一般和特定物种的 6mA 位点预测方面优于其同行工具，表明它可以为进一步研究 DNA 6mA 修饰提供有用的资源。
https://bioinfo.uth.edu/6mA_Finder。
补充数据可在 Bioinformatics 在线获得。
