<p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p> <p>Proteomics has the capability to generate overwhelming quantities of data in relatively
short timescales, and it is not uncommon to see experimenters investing substantially
more time in data analysis than in data gathering. Although several sophisticated
tools for data reduction and analysis are available, they lack the flexibility to cope
with increasingly innovative experimental strategies and new database resources that
encode both qualitative and quantitative data. I will outline a specification of a
flexible proteomics tool that could address many current bottlenecks and deficiencies.</p>
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Comp Funct Genomics. 2004 Feb; 5(1):52-55