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Business intelligence strategies enables rapid analysis of quantitative proteomics data
2012
journal of Proteome Science and Computational Biology
Integration of high throughput data with online data resources is critical for data analysis and hypothesis generation. Relational databases facilitate the data integration, but larger amounts of data and the growth of the online data resources can slow down the data analysis process. We have developed a proof-of-principle software tool using concepts from the business intelligence field to enable fast, reliable and reproducible quantitative analysis of mass spectrometry data. The software
doi:10.7243/2050-2273-1-5
fatcat:d625cggg25gk3iyc5kssn7y5gm