Abstract
The complexity of proteomes makes good experimental design essential for their successful investigation. Here, we describe how proteomics experiments can be modeled and how computer simulations of these models can be used to improve experimental designs.
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Acknowledgments
This work was supported by funding provided by the National Institutes of Health Grants RR00862 and RR022220, the Carl Trygger foundation, and the Swedish research council.
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Eriksson, J., Fenyö, D. (2010). Modeling Experimental Design for Proteomics. In: Fenyö, D. (eds) Computational Biology. Methods in Molecular Biology, vol 673. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-60761-842-3_14
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DOI: https://doi.org/10.1007/978-1-60761-842-3_14
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Publisher Name: Humana Press, Totowa, NJ
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