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Identification of CpG Islands in DNA Sequences Using Short-Time Fourier Transform by Pardeep Garg; Sunildatt Sharma is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Identification of CpG Islands in DNA Sequences Using Short-Time Fourier Transform about?

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.

Who reads Identification of CpG Islands in DNA Sequences Using Short-Time Fourier Transform?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
Pardeep Garg; Sunildatt Sharma
Publisher
International Association of Scientists in the Interdisciplinary Areas; Springer-Verlag; Springer Verlag; Springer Science and Business Media LLC (ISSN 1913-2751)
Published
2020
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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