Journal
JOURNAL OF PROTEOME RESEARCH
Volume 7, Issue 1, Pages 47-50Publisher
AMER CHEMICAL SOC
DOI: 10.1021/pr700747q
Keywords
mass spectrometry; peptide identification; database searching; statistical validation; decoy sequences; false discovery rates
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Funding
- NCI NIH HHS [R01 CA126239, CA-126239] Funding Source: Medline
- NATIONAL CANCER INSTITUTE [R01CA126239] Funding Source: NIH RePORTER
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Development of statistical methods for assessing the significance of peptide assignments to tandem mass spectra obtained using database searching remains an important problem. In the past several years, several different approaches have emerged, including the concept of expectation values, target-decoy strategy, and the probability mixture modeling approach of PeptideProphet. In this work, we provide a background on statistical significance analysis in the field of mass spectrometry-based proteomics, and present our perspective on the current and future developments in this area.
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