Combining quantitative proteomics data processing workflows for greater sensitivity - PubMed (original) (raw)
doi: 10.1038/nmeth.1604. Epub 2011 May 8.
Affiliations
- PMID: 21552256
- DOI: 10.1038/nmeth.1604
Combining quantitative proteomics data processing workflows for greater sensitivity
Niklaas Colaert et al. Nat Methods. 2011 Jun.
Abstract
We here describe a normalization method to combine quantitative proteomics data. By merging the output of two popular quantification software packages, we obtained a 20% increase (on average) in the number of quantified human proteins without suffering from a loss of quality. Our integrative workflow is freely available through our user-friendly, open-source Rover software (http://compomics-rover.googlecode.com/).
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