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author:

Bo, C. (Bo, C..) [1]

Indexed by:

Scopus

Abstract:

Presently, substantial studies have been conducted to investigate periodicities hidden in biological sequences. Among them, the Self-Adaptive Spectral Rotation (SASR) method is said to be an efficient tool to visualize the 3-bp periodicity (TP) in DNA sequences. It outputs a random walk, i.e., TP walk, in the complex plane for any query sequence. And the TP-intensive regions in the sequence can be visually discriminated from the non-TP ones in the walk. In this paper, the behaviors of the walks for non-TP sequences are further investigated qualitatively. A slightly leftward trend (an abnormity) in such walks is observed, which is not reported in the previous SASR literatures. An improved SASR, named the mature SASR, is proposed, in order to eliminate the abnormity, correct the TP walks, and provide a better visualization. © 2014 IEEE.

Keyword:

bioinformatics; probability; protein-coding region prediction; time series

Community:

  • [ 1 ] [Bo, C.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Bo, C.]College of Mathematics and Computer Science, Fuzhou UniversityChina

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Source :

Processing of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014

Year: 2014

Language: English

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 4

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