Article ; Online: Analysis of Tandem Mass Spectrometry Data with CONGA: Combining Open and Narrow Searches with Group-Wise Analysis.
2024
Abstract: Searching for tandem mass spectrometry proteomics data against a database is a well-established method for assigning peptide sequences to observed spectra but typically cannot identify peptides harboring unexpected post-translational modifications (PTMs). ...
Abstract | Searching for tandem mass spectrometry proteomics data against a database is a well-established method for assigning peptide sequences to observed spectra but typically cannot identify peptides harboring unexpected post-translational modifications (PTMs). Open modification searching aims to address this problem by allowing a spectrum to match a peptide even if the spectrum's precursor mass differs from the peptide mass. However, expanding the search space in this way can lead to a loss of statistical power to detect peptides. We therefore developed a method, called CONGA (combining open and narrow searches with group-wise analysis), that takes into account results from both types of searches─a traditional "narrow window" search and an open modification search─while carrying out rigorous false discovery rate control. The result is an algorithm that provides the best of both worlds: the ability to detect unexpected PTMs without a concomitant loss of power to detect unmodified peptides. |
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Language | English |
Publishing date | 2024-04-23 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 2078618-9 |
ISSN | 1535-3907 ; 1535-3893 |
ISSN (online) | 1535-3907 |
ISSN | 1535-3893 |
DOI | 10.1021/acs.jproteome.3c00399 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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