CharmeRT: Boosting Peptide Identifications by Chimeric Spectra Identification and Retention Time Prediction

CharmeRT:通过嵌合光谱鉴定和保留时间预测提高肽鉴定率

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作者:Viktoria Dorfer, Sergey Maltsev, Stephan Winkler, Karl Mechtler

Abstract

Coeluting peptides are still a major challenge for the identification and validation of MS/MS spectra, but carry great potential. To tackle these problems, we have developed the here presented CharmeRT workflow, combining a chimeric spectra identification strategy implemented as part of the MS Amanda algorithm with the validation system Elutator, which incorporates a highly accurate retention time prediction algorithm. For high-resolution data sets this workflow identifies 38-64% chimeric spectra, which results in up to 63% more unique peptides compared to a conventional single search strategy.

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