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Interpretive Time-Frequency Analysis of Genomic Sequences

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Published:02 October 2016Publication History

ABSTRACT

Time-Frequency (TF) analysis has been extensively used for the analysis of numeric signals in the past decade. In this paper, using the notion of interpretive signal processing (ISP) and by redefining correlation functions for non-numeric sequences, a general class of TF transforms are extended and applied to non-numerical genomic sequences. The technique has been successfully evaluated on synthetic and real DNA sequences. The proposed method is fairly generic and is believed to be useful for extracting quantitative and visual information regarding local and global periodicity, symmetry, (non-) stationarity and spectral color of genomic sequences.

  1. Interpretive Time-Frequency Analysis of Genomic Sequences

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    • Published in

      cover image ACM Conferences
      BCB '16: Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
      October 2016
      675 pages
      ISBN:9781450342254
      DOI:10.1145/2975167

      Copyright © 2016 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 2 October 2016

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      Overall Acceptance Rate254of885submissions,29%
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