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A reference peptide database for proteome quantification based on experimental mass spectrum response curves
2018
Bioinformatics
Motivation: Mass spectrometry (MS) based quantification of proteins/peptides has become a powerful tool in biological research with high sensitivity and throughput. The accuracy of quantification, however, has been problematic as not all peptides are suitable for quantification. Several methods and tools have been developed to identify peptides that response well in mass spectrometry and they are mainly based on predictive models, and rarely consider the linearity of the response curve,
doi:10.1093/bioinformatics/bty201
pmid:29617941
pmcid:PMC6084618
fatcat:w3xhljj6xzhplfsuypxbnxokh4