Interpretive Time-Frequency Analysis of Genomic Sequences

Hamed Hassani Saadi, Reza Sameni, Amin Zollanvari

2016

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DOI 10.1145/2975167.2985673
Data confidence 70 medium
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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.