Dr. Amy Ham, of the Department of Pharmaceutical, Social & Administrative Sciences, recently had a paper published online, ahead of print of her manuscript in the American Chemistry Society’s Journal of Proteome Research. The paper is titled “IDPQuantify: Combining Precursor Intensity with Spectral Counts for Protein and Peptide Quantification. Ham is part of a team that developed new software, IDPQuantify, to align multiple replicates using principal component analysis, extract accurate precursor intensities from MS data and combine intensities with spectral counts for significant gains in differentiation and quantification. The software is able to associate peptides with peaks that are otherwise left unidentified to increase the efficiency of protein quantification, especially for low-abundance proteins.
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