The MS data for accuracy evaluation of absolute quantification algorithms
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus Musculus Saccharomyces Cerevisiae
SUBMITTER: 
Yunping Zhu
PROVIDER: PXD009719 | iProX | Tue May 08 00:00:00 BST 2018
REPOSITORIES: iProX
Publications
LFAQ: Toward Unbiased Label-Free Absolute Protein Quantification by Predicting Peptide Quantitative Factors.
Chang Cheng C Gao Zhiqiang Z Ying Wantao W Fu Yan Y Zhao Yan Y Wu Songfeng S Li Mengjie M Wang Guibin G Qian Xiaohong X Zhu Yunping Y He Fuchu F
Analytical chemistry 20181221 2
Mass spectrometry (MS) has become a predominant choice for large-scale absolute protein quantification, but its quantification accuracy still has substantial room for improvement. A crucial issue is the bias between the peptide MS intensity and the actual peptide abundance, i.e., the fact that peptides with equal abundance may have different MS intensities. This bias is mainly caused by the diverse physicochemical properties of peptides. Here, we propose an algorithm for label-free absolute prot ...[more]
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