In the era of big data analysis, genomics data analysis is highly needed to extract the hidden information present in the DNA sequences. One of the important hidden features present in the DNA sequences is CpG islands. CpG Islands are important as these are used as gene markers and also these are associated with cancer etc. Therefore, various methods have been reported for the identification of CpG islands in DNA sequences. The key contributions of this work are (i) extraction of the periodicity feature associated with CpG islands using Short-time Fourier transform (ii) a short-time Fourier transform-based algorithm has been proposed for the identification of CpG Islands in DNA sequences. The results of the proposed algorithm amply demonstrate its better performance as compared to other reported methods on CpG islands detection.

中文翻译：

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使用短时傅立叶变换识别DNA序列中的CpG岛。

在大数据分析时代，非常需要基因组数据分析来提取DNA序列中存在的隐藏信息。DNA序列中存在的重要隐藏特征之一是CpG岛。CpG岛很重要，因为它们被用作基因标记，并且也与癌症等有关。因此，已经报道了各种方法来鉴定DNA序列中的CpG岛。这项工作的主要贡献是（i）使用短时傅立叶变换提取与CpG岛相关的周期性特征（ii）提出了一种基于短时傅立叶变换的算法来识别DNA序列中的CpG岛。与其他报告的CpG岛检测方法相比，该算法的结果充分证明了其更好的性能。