Abstract
The success of mass spectrometry based proteomics depends on efficient methods for data analysis. These methods require a detailed understanding of the information value of the data. Here, we describe how the information value can be elucidated by performing simulations using synthetic data.
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Acknowledgments
This work was supported by funding provided by the National Institutes of Health Grants CA126485, DE018385, NS050276, RR00862 and RR022220, the Carl Trygger foundation, and the Swedish research council.
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Eriksson, J., Fenyö, D. (2011). Modeling Mass Spectrometry-Based Protein Analysis. In: Wu, C., Chen, C. (eds) Bioinformatics for Comparative Proteomics. Methods in Molecular Biology, vol 694. Humana Press. https://doi.org/10.1007/978-1-60761-977-2_8
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DOI: https://doi.org/10.1007/978-1-60761-977-2_8
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