A likelihood-based scoring method for peptide identification using mass spectrometry
نویسندگان
چکیده
منابع مشابه
A Nonlinear Scoring Framework for Peptide Identification via Tandem Mass Spectrometry
The problem of false positives in peptide identification via tandem mass spectrometry (MS/MS) by database searching remains unsatisfactorily resolved in the current proteomics research. The correlative information among fragment ions in the MS/MS spectrum can be very helpful for reducing the number of false positives. However, due to the computational difficulty, existing peptide-scoring algori...
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2007 I To my wife Bai Hong, mother and father You all deserve the pride! II Acknowledgements I would like to first thank my family, especially my parents and my wife, for their endless support every day, month and year during my pursuit of PhD. I would like to take this opportunity to thank Prof. Leong Hon Wai for his patience, constant guidance and countless insightful suggestions throughout m...
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Peptide and protein identification via tandem mass spectrometry (MS/MS) lies at the heart of proteomic characterization of biological samples. Several algorithms are able to search, score, and assign peptides to large MS/MS datasets. Most popular methods, however, underutilize the intensity information available in the tandem mass spectrum due to the complex nature of the peptide fragmentation ...
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We evaluate statistical models used in two-hypothesis tests for identifying peptides from tandem mass spectrometry data. The null hypothesis H(0), that a peptide matches a spectrum by chance, requires information on the probability of by-chance matches between peptide fragments and peaks in the spectrum. Likewise, the alternate hypothesis H(A), that the spectrum is due to a particular peptide, ...
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ژورنال
عنوان ژورنال: The Annals of Applied Statistics
سال: 2012
ISSN: 1932-6157
DOI: 10.1214/12-aoas568