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Protein Sequence Databases

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Abstract

The near exponential growth in protein sequence data is at the foundation of transformations in biological research and related technological developments. The use of protein sequence data is widespread in fields including agronomy, biochemistry, ecology, etymology, evolution, genetics, genetic engineering, genomics, molecular phylogenetics and systematics, pharmacology, and toxicology. The remarkable increase in available protein sequences will most likely continue with the proliferation of genome sequencing projects, the latter enabled by ongoing improvements in DNA sequencing technology.1 Along with opportunities, protein sequence data bring scientifically challenging problems.

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Notes

  1. 1.

    The number of bases in GenBank has doubled in content approximately every 18 months since 1982 (Fig. 10.1). This growth is in stride with the doubling of components of integrated circuit density at approximately 18–24 month intervals, commonly referred to as Moore’s Law (Moore 1965).

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Authors and Affiliations

  1. University of Queensland, Brisbane, QLD, Australia

    Terry Clark

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  1. Terry Clark
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Correspondence to Terry Clark .

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Editors and Affiliations

  1. Inst. Molecular Bioscience, University of Queensland, St.Lucia, 4072, Australia

    David Edwards

  2. Dept. Plant & Microbial Biology, University of California, Berkeley, Koshland Hall 111, Berkeley, 94720, U.S.A.

    Jason Stajich

  3. e-Health Research Centre, Adelaide St. 300, Brisbane, 4000, Australia

    David Hansen

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Clark, T. (2009). Protein Sequence Databases. In: Edwards, D., Stajich, J., Hansen, D. (eds) Bioinformatics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-92738-1_10

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