Quetzal: Comprehensive Peptide Fragmentation Annotation and Visualization

Proteomics data-dependent acquisition data sets collected with high-resolution mass-spectrometry (MS) can achieve very high-quality results, but nearly every analysis yields results that are thresholded at some accepted false discovery rate, meaning that a substantial number of results are incorrect. For study conclusions that rely on a small number of peptide-spectrum matches being correct, it is thus important to examine at least some crucial spectra to ensure that they are not one of the incorrect identifications. We present Quetzal, a peptide fragment ion spectrum annotation tool to assist researchers in annotating and examining such spectra to ensure that they correctly support study conclusions. We describe how Quetzal annotates spectra using the new Human Proteome Organization (HUPO) Proteomics Standards Initiative (PSI) mzPAF standard for fragment ion peak annotation, including the Python-based code, a web-service end point that provides annotation services, and a web-based application for annotating spectra and producing publication-quality figures. We illustrate its functionality with several annotated spectra of varying complexity. Quetzal provides easily accessible functionality that can assist in the effort to ensure and demonstrate that crucial spectra support study conclusions. Quetzal is publicly available at https://proteomecentral.proteomexchange.org/quetzal/.

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Institutions

Publication Details

Journal
Journal of Proteome Research
Published
2025-03-20
DOI
https://doi.org/10.1021/acs.jproteome.5c00092
Citations
5
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
3.78

Funders

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article

Quetzal: Comprehensive Peptide Fragmentation Annotation and Visualization

Robert L. Moritz, Eric W. Deutsch, Luis Mendoza
5 citations
Journal of Proteome Research
Advanced Proteomics Techniques and Applications
3.78
article

Quetzal: Comprehensive Peptide Fragmentation Annotation and Visualization

Robert L. Moritz, Eric W. Deutsch, Luis Mendoza
article en
5 citations

Abstract

Proteomics data-dependent acquisition data sets collected with high-resolution mass-spectrometry (MS) can achieve very high-quality results, but nearly every analysis yields results that are thresholded at some accepted false discovery rate, meaning that a substantial number of results are incorrect. For study conclusions that rely on a small number of peptide-spectrum matches being correct, it is thus important to examine at least some crucial spectra to ensure that they are not one of the incorrect identifications. We present Quetzal, a peptide fragment ion spectrum annotation tool to assist researchers in annotating and examining such spectra to ensure that they correctly support study conclusions. We describe how Quetzal annotates spectra using the new Human Proteome Organization (HUPO) Proteomics Standards Initiative (PSI) mzPAF standard for fragment ion peak annotation, including the Python-based code, a web-service end point that provides annotation services, and a web-based application for annotating spectra and producing publication-quality figures. We illustrate its functionality with several annotated spectra of varying complexity. Quetzal provides easily accessible functionality that can assist in the effort to ensure and demonstrate that crucial spectra support study conclusions. Quetzal is publicly available at https://proteomecentral.proteomexchange.org/quetzal/.

Journal of Proteome ResearchVol. 24(4)
Institute for Systems Biology (US), InSysBio (Russia) (RU)
NIH Office of the Director, National Institute of General Medical Sciences, Division of Biological Infrastructure, Division of Integrative Organismal Systems
Zero hunger
Openalex Percentile: Top 7%
Advanced Proteomics Techniques and Applications
3.78
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