Proteomics is widely used to analyze the protein content of bacterial species. Using various technologies, about 25–30% of the predicted proteins are typically identified. The relative abundance of these proteins at different stages, or under different conditions, can also be determined using proteomics approaches. In the first part of this review, a limited number of proteomics studies of bacterial species is summarized. This is not done in an exhaustive way, but to emphasize the complexity of the data which can be generated. Ways to manage and analyze this information are explored in the second part. The need to use standardized data formats, powerful bioinformatics tools and information management systems is discussed.

Keywords:
Proteomics, Bacteria, Bioinformatics, Complexity, Data management
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© 2005 S. Karger AG, Basel
2004
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