Notice of Violation of IEEE Publication Principles: Spectrogram Analysis of Genome Small Patterns Using Pseudo Smoothed Wigner-Ville Distribution

Notice of Violation of IEEE Publication Principles

"Spectrogram Analysis of Genome Small Patterns Using Pseudo Smoothed Wigner-Ville Distribution"
by Yu Renjun and Tan Eng Chong
in the Proceedings of the 5th International Conference on Information, Communications & Signal Processing, December 2005

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper was found to be a near verbatim copy of the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"Spectrogram Analysis of Genomes"
by David Sussillo, Anshul Kundaje, and Dimitris Anastassiou,
in EURASIP Journal on Applied Signal Processing, 2004:1, Hindawi Publishing pp. 29-42


We perform time-frequency analysis of the genomes from various organisms. Two technologies are used, the Pseudo Smoothed Wigner-Ville Distribution (SPWVD) and the Tricolor Spectrogram Visualization (TSV). The SPWVD calculates the DNA spectrograms in both time and frequency domains, and the TSV identify several types of distinct visual patterns characterizing specific DNA regions. We focus on the small patterns in relatively `short' DNA segments, and relate these spectrogram patterns to the sequence characteristics of the DNA. Some patterns are explained from the biological nature of the corresponding regions, which relate to chromosome structure and protein coding, and some patterns have yet unknown biological significance.