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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C.V.H. is supported by a grant of the Research Foundation–Flanders (project 3G003908). We thank B. Ghesquière, F. Impens and E. Timmerman for providing prepublication access during algorithm development to their now published data. We acknowledge the support of Ghent University (Multidisciplinary Research Partnership “Bioinformatics: from nucleotides to networks”) and EU 7th Framework Programme (contract 262067-PRIME-XS). K.G. and J.V. acknowledge funding from the Fund for Scientific Research–Flanders (Belgium) (project G.0042.07), the Concerted Research Actions (project BOF07/GOA/012) from Ghent University and the Interuniversity Attraction Poles (IUAP06).
The authors declare no competing financial interests.
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Colaert, N., Van Huele, C., Degroeve, S. et al. Combining quantitative proteomics data processing workflows for greater sensitivity. Nat Methods 8, 481–483 (2011). https://doi.org/10.1038/nmeth.1604
Analytical and Bioanalytical Chemistry (2012)