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Analysis and visualization of DNA spectrograms: open possibilities for the genome research

Published: 23 October 2006 Publication History

Abstract

The demand for technology that can process biological information is becoming more and more obvious and urgent. Existing research in bioinformatics has been focusing on various types of analysis of DNA sequences and various measurements taken at the protein, RNA transcript and DNA level. In this paper we will show the application of spectral analysis and image processing in analyzing DNA sequences of specific structure. In addition, we extend the framework to visualize long DNA sequences and help in identifying patterns that are visible at high resolution of DNA spectral images.

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cover image ACM Conferences
MM '06: Proceedings of the 14th ACM international conference on Multimedia
October 2006
1072 pages
ISBN:1595934472
DOI:10.1145/1180639
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 23 October 2006

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Author Tags

  1. DNA spectrogram
  2. fourier transform
  3. genome analysis

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MM06
MM06: The 14th ACM International Conference on Multimedia 2006
October 23 - 27, 2006
CA, Santa Barbara, USA

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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  • (2023)Discovering Mathematical Patterns Behind HIV-1 Genetic Recombination: A New Methodology to Identify Viral FeaturesIEEE Access10.1109/ACCESS.2023.331175211(95796-95812)Online publication date: 2023
  • (2023)Validating by Deep Learning an Efficient Method for Genomic Sequence Analysis: Genomic SpectrogramsHybrid Artificial Intelligent Systems10.1007/978-3-031-40725-3_24(281-292)Online publication date: 29-Aug-2023
  • (2022)DeepCOVID-19: A model for identification of COVID-19 virus sequences with genomic signal processing and deep learningCogent Engineering10.1080/23311916.2021.20175809:1Online publication date: 10-Jan-2022
  • (2016)Use of whole genome DNA spectrograms in bacterial classificationComputers in Biology and Medicine10.1016/j.compbiomed.2015.04.03869:C(298-307)Online publication date: 1-Feb-2016
  • (2015)Improved Classification of Lung Cancer Using Radial Basis Function Neural Network with Affine Transforms of Voss RepresentationPLOS ONE10.1371/journal.pone.014354210:12(e0143542)Online publication date: 1-Dec-2015
  • (2014)Relationship of Bacteria Using Comparison of Whole Genome Sequences in Frequency DomainInformation Technologies in Biomedicine, Volume 310.1007/978-3-319-06593-9_35(397-408)Online publication date: 2014
  • (2011)DNA Sequence Search Using Content-Based Image Search Approach5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011)10.1007/978-3-642-19914-1_26(191-199)Online publication date: 2011
  • (2010)Alignment method for spectrograms of DNA sequencesIEEE Transactions on Information Technology in Biomedicine10.1109/TITB.2009.203305214:1(3-9)Online publication date: 1-Jan-2010
  • (2008)Frequency Sorting Method for Spectral Analysis of DNA SequencesProceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine10.1109/BIBM.2008.15(43-50)Online publication date: 3-Nov-2008
  • (2007)Improvement of Spectral Analysis as a Genomic Analysis Tool2007 IEEE International Workshop on Genomic Signal Processing and Statistics10.1109/GENSIPS.2007.4365819(1-4)Online publication date: Jun-2007
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