Binary Classifier for Computing Posterior Error Probabilities in MetaMorpheus.

Binary Classifier for Computing Posterior Error Probabilities in MetaMorpheus.
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DOI:
10.1021/acs.jproteome.0c00838
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发表时间:
2021-04-02
影响因子:
4.4
通讯作者:
Smith LM
Smith LM
中科院分区:
生物学2区
文献类型:
--
作者:
Shortreed MR;Millikin RJ;Liu L;Rolfs Z;Miller RM;Schaffer LV;Frey BL;Smith LM

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MetaMorpheus is a free, open-source software program for the identification of peptides and proteoforms from data-dependent acquisition, tandem MS experiments. There is inherent uncertainty in these assignments for several reasons including: limited overlap between experimental and theoretical peaks; m/z uncertainty; and noise peaks or peaks from co-isolated peptides that produce false matches. False discovery rates provide only a set-wise approximation for incorrect spectrum matches. Here, we implemented a binary decision tree calculation within MetaMorpheus to compute a posterior error probability, which provides a measure of uncertainty for each peptide spectrum match. We demonstrate its utility for increasing identifications and resolving ambiguities in bottom-up, top-down, proteogenomic and non-specific digestion searches.
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