Computational Analysis of Quantitative Proteomics Data Using Stable Isotope Labeling
Last Update: 2020-12-30
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Over the last few years, new proteomics methods have been developed for making quantitative comparisons using stable isotopelabeling. Although these methods have paved the way for quantitative proteomics, the analysis of these data is often the rate-limitingstep. In fact, many analyzes are still carried out manually, which adds a level of subjectivity to the data that will varybetween laboratories and even analysts. In this chapter, we have attempted to summarize several of the key steps necessaryfor an individual to automate the analysis of quantitative proteomics data. The approach is straightfoward to implement foran individual with moderate programming experience and used to process proteomics data in an objective manner.
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