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New Directions in Statistical Physics pp 193–212Cite as

Sequence Alignment in Bioinformatics

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Abstract

Over two billion US dollars have been budgeted for the Human Genome Project alone in the past twelve years, not to mention other similar or related projects worldwide. These investments have led to the production of enormous amount of biological data, many of which are sequence information of biomolecules — e.g. specifying proteins/DNAs by identifying each amino-acid/nucleotide in the sequential order. These sequence data, presumably containing the “digital” information of life, are hard to decipher. Extracting useful and important information out of those massive biological data has developed into a new branch of science — bioinformatics. One of the most important and widely used method in bioinformatics research is called “sequence alignment”. The basic idea is to expedite the identification of biological functions of a newly sequenced biomolecule, say a protein, by comparing the sequence content of the new molecule to the existing ones (characterized and documented in the database).

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Authors
  1. Yi-Kuo Yu
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Editors and Affiliations

  1. Department of Physics, Florida Atlantic University, 777 Glades Road, 33431, Boca Raton, FL, USA

    Luc T. Wille

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© 2004 Springer-Verlag Berlin Heidelberg

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Yu, YK. (2004). Sequence Alignment in Bioinformatics. In: Wille, L.T. (eds) New Directions in Statistical Physics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-08968-2_11

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  • DOI: https://doi.org/10.1007/978-3-662-08968-2_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-07739-5

  • Online ISBN: 978-3-662-08968-2

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