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Sources of Experimental Variation in 2-D Maps: The Importance of Experimental Design in Gel-Based Proteomics

  • Cristina-Maria Valcu
  • Mihai Valcu
Part of the Methods in Molecular Biology book series (MIMB, volume 1384)

Abstract

The success of proteomic studies employing 2-D maps largely depends on the way surveys and experiments have been organized and performed. Planning gel-based proteomic experiments involves the selection of equipment, methodology, treatments, types and number of samples, experimental layout, and methods for data analysis. A good experimental design will maximize the output of the experiment while taking into account the biological and technical resources available. In this chapter we provide guidelines to assist proteomics researchers in all these choices and help them to design quantitative 2-DE experiments.

Key words

Biological variation Optimal sample size Power analysis Replication Sampling Sample pools Technical variation 

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Cristina-Maria Valcu
    • 1
  • Mihai Valcu
    • 1
  1. 1.Department of Behavioural Ecology & Evolutionary GeneticsMax Planck Institute for OrnithologySeewiesenGermany

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