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author:

Bo, Chen (Bo, Chen.) [1] (Scholars:陈勃)

Indexed by:

CPCI-S

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.

Keyword:

bioinformatics probability protein-coding region prediction time series

Community:

  • [ 1 ] Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Peoples R China

Reprint 's Address:

  • 陈勃

    [Bo, Chen]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Peoples R China

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Source :

PROCESSING OF 2014 INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INFORMATION INTEGRATION FOR INTELLIGENT SYSTEMS (MFI)

Year: 2014

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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