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Bioinformatics pp 209-223 | Cite as

Protein Sequence Databases

  • Terry Clark
Chapter

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.

Keywords

Protein Data Bank Protein Sequence Database European Molecular Biology Laboratory Gene Ontology Consortium Protein Sequence Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.University of QueenslandBrisbaneAustralia

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