RT Journal Article
SR Electronic
T1 Improved Monoisotopic Mass Estimation for Deeper Proteome Coverage
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.06.03.131003
DO 10.1101/2020.06.03.131003
A1 Ramin Rad
A1 Jiaming Li
A1 Julian Mintseris
A1 Jeremy O’Connell
A1 Steven P. Gygi
A1 Devin K Schweppe
YR 2020
UL http://biorxiv.org/content/early/2020/06/04/2020.06.03.131003.abstract
AB Accurate assignment of monoisotopic peaks is essential for the identification of peptides in bottom-up proteomics. Misassignment or inaccurate attribution of peptidic ions leads to lower sensitivity and fewer total peptide identifications. In the present work we present a performant, open-source, cross-platform algorithm, Monocle, for the rapid reassignment of instrument assigned precursor peaks to monoisotopic peptide assignments. We demonstrate that the present algorithm can be integrated into many common proteomics pipelines and provides rapid conversion from multiple data source types. Finally, we show that our monoisotopic peak assignment results in up to a two-fold increase in total peptide identifications compared to analyses lacking monoisotopic correction and a 44% improvement over previous monoisotopic peak correction algorithms.Competing Interest StatementThe authors have declared no competing interest.