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Swarm Intelligence Algorithms in Bioinformatics

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Computational Intelligence in Bioinformatics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 94))

Summary

Research in bioinformatics necessitates the use of advanced computing tools for processing huge amounts of ambiguous and uncertain biological data. Swarm Intelligence (SI) has recently emerged as a family of nature inspired algorithms, especially known for their ability to produce low cost, fast and reasonably accurate solutions to complex search problems. In this chapter, we explore the role of SI algorithms in certain bioinformatics tasks like microarray data clustering, multiple sequence alignment, protein structure prediction and molecular docking. The chapter begins with an overview of the basic concepts of bioinformatics along with their biological basis. It also gives an introduction to swarm intelligence with special emphasis on two specific SI algorithms well-known as Particle Swarm Optimization (PSO) and Ant Colony Systems (ACS). It then provides a detailed survey of the state of the art research centered around the applications of SI algorithms in bioinformatics. The chapter concludes with a discussion on how SI algorithms can be used for solving a few open ended problems in bioinformatics.

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Authors and Affiliations

  1. Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, 700032, India

    Swagatam Das, Ajith Abraham & Amit Konar

  2. Center of Excellence for Quantifiable Quality of Service, Norwegian University of Science and Technology, Trondheim, Norway

    Ajith Abraham

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  1. Swagatam Das
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  2. Ajith Abraham
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  3. Amit Konar
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Editor information

Editors and Affiliations

  1. Department of Neurology Buffalo Neuroimaging Analysis Center The Jacobs Neurological Institute University at Buffalo, The State University of New York, 100 High Street, Buffalo, NY, 14203, USA

    Arpad Kelemen

  2. Centre for Quantifiable Quality of Service in Communication Systems (Q2S), Centre of Excellence Norwegian University of Science and Technology, O.S. Bragstads plass 2E, N-7491, Trondheim, Norway

    Ajith Abraham

  3. School of Information Science and Engineering, Jinan University, Jiwei Road 106, Jinan, 250022, P.R. China

    Yuehui Chen

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Das, S., Abraham, A., Konar, A. (2008). Swarm Intelligence Algorithms in Bioinformatics. In: Kelemen, A., Abraham, A., Chen, Y. (eds) Computational Intelligence in Bioinformatics. Studies in Computational Intelligence, vol 94. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76803-6_4

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