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Innovations and Advances in Computer Sciences and Engineering pp 119–121Cite as

Entropy, Autocorrelation and Fourier analysis of HIV-1 Genome

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Abstract

Genome Signal Processing (G.S.P.) is a new emerging field, in which we are trying develop new concepts and devices. In this paper we are applying the theoretical fundamentals of Electronics and Bioinformatics on HIV-1 genome. We report the applications of entropy, autocorrelation and frequency domain analysis on large genomic data. This entropy, autocorrelation and frequency domain analysis will help to solve long standing problems, like hidden truths and patterns of HIV-1 genome.

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Author information

Authors and Affiliations

  1. Institute of Nuclear Medicine and Allied Sector DRDO, Delhi, India

    Sushil Chandra

  2. Department of Electronics and Communication Engineering, Tezpur University, Assam, India

    Ahsan Zaigam Rizvi

Authors
  1. Sushil Chandra
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  2. Ahsan Zaigam Rizvi
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Corresponding author

Correspondence to Sushil Chandra .

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Editors and Affiliations

  1. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, U.S.A.

    Tarek Sobh

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© 2010 Springer Science+Business Media B.V.

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Chandra, S., Rizvi, A.Z. (2010). Entropy, Autocorrelation and Fourier analysis of HIV-1 Genome. In: Sobh, T. (eds) Innovations and Advances in Computer Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3658-2_21

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  • DOI: https://doi.org/10.1007/978-90-481-3658-2_21

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-3657-5

  • Online ISBN: 978-90-481-3658-2

  • eBook Packages: EngineeringEngineering (R0)

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