Title |
Using a spike-in experiment to evaluate analysis of LC-MS data
|
---|---|
Published in |
Proteome Science, February 2012
|
DOI | 10.1186/1477-5956-10-13 |
Pubmed ID | |
Authors |
Leepika Tuli, Tsung-Heng Tsai, Rency S Varghese, Jun Feng Xiao, Amrita Cheema, Habtom W Ressom |
Abstract |
Recent advances in liquid chromatography-mass spectrometry (LC-MS) technology have led to more effective approaches for measuring changes in peptide/protein abundances in biological samples. Label-free LC-MS methods have been used for extraction of quantitative information and for detection of differentially abundant peptides/proteins. However, difference detection by analysis of data derived from label-free LC-MS methods requires various preprocessing steps including filtering, baseline correction, peak detection, alignment, and normalization. Although several specialized tools have been developed to analyze LC-MS data, determining the most appropriate computational pipeline remains challenging partly due to lack of established gold standards. |
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