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Post alignment clustering procedure for comparative quantitative proteomics LC-MS data
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DOI：10.1002/pmic.200700707.png)
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Abstract
En 中文
Comparative LC-MS is a powerful method for detailed quantitative comparison of complex protein mixtures. Dedicated software is required for detection, matching, and alignment of peaks in multiple LC-MS datasets. However, retention time shifts, saturation effects, limitations of experimental accuracy, and possible occurrence of split peaks make it difficult for software to perfectly match all chromatograms. We describe a procedure to assess the above problems and show that dataset quality can be enhanced with the aid of cluster analysis.
Keywords:
alignment
data quality
LC-MS
mass spectrometry
quantitative proteomics