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Current controlled vocabularies are insufficient to uniquely map molecular entities to mass spectrometry signal
BACKGROUND: The comparison of analyte mass spectrometry precursor (MS1) signal is central to many proteomic (and other -omic) workflows. Standard vocabularies for mass spectrometry exist and provide good coverage for most experimental applications yet are insufficient for concise and unambiguous des...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4423578/ https://www.ncbi.nlm.nih.gov/pubmed/25952148 http://dx.doi.org/10.1186/1471-2105-16-S7-S2 |
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author | Smith, Rob Taylor, Ryan M Prince, John T |
author_facet | Smith, Rob Taylor, Ryan M Prince, John T |
author_sort | Smith, Rob |
collection | PubMed |
description | BACKGROUND: The comparison of analyte mass spectrometry precursor (MS1) signal is central to many proteomic (and other -omic) workflows. Standard vocabularies for mass spectrometry exist and provide good coverage for most experimental applications yet are insufficient for concise and unambiguous description of data concepts spanning the range of signal provenance from a molecular perspective (e.g. from charged peptides down to fine isotopes). Without a standard unambiguous nomenclature, literature searches, algorithm reproducibility and algorithm evaluation for MS-omics data processing are nearly impossible. RESULTS: We show how terms from current official ontologies are too vague or ambiguous to explicitly map molecular entities to MS signals and we illustrate the inconsistency and ambiguity of current colloquially used terms. We also propose a set of terms for MS1 signal that uniquely, succinctly and intuitively describe data concepts spanning the range of signal provenance from full molecule downs to fine isotopes. We suggest that additional community discussion of these terms should precede any further standardization efforts. We propose a novel nomenclature that spans the range of the required granularity to describe MS data processing from the perspective of the molecular provenance of the MS signal. CONCLUSIONS: The proposed nomenclature provides a chain of succinct and unique terms spanning the signal created by a charged molecule down through each of its constituent subsignals. We suggest that additional community discussion of these terms should precede any further standardization efforts. |
format | Online Article Text |
id | pubmed-4423578 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44235782015-05-13 Current controlled vocabularies are insufficient to uniquely map molecular entities to mass spectrometry signal Smith, Rob Taylor, Ryan M Prince, John T BMC Bioinformatics Research BACKGROUND: The comparison of analyte mass spectrometry precursor (MS1) signal is central to many proteomic (and other -omic) workflows. Standard vocabularies for mass spectrometry exist and provide good coverage for most experimental applications yet are insufficient for concise and unambiguous description of data concepts spanning the range of signal provenance from a molecular perspective (e.g. from charged peptides down to fine isotopes). Without a standard unambiguous nomenclature, literature searches, algorithm reproducibility and algorithm evaluation for MS-omics data processing are nearly impossible. RESULTS: We show how terms from current official ontologies are too vague or ambiguous to explicitly map molecular entities to MS signals and we illustrate the inconsistency and ambiguity of current colloquially used terms. We also propose a set of terms for MS1 signal that uniquely, succinctly and intuitively describe data concepts spanning the range of signal provenance from full molecule downs to fine isotopes. We suggest that additional community discussion of these terms should precede any further standardization efforts. We propose a novel nomenclature that spans the range of the required granularity to describe MS data processing from the perspective of the molecular provenance of the MS signal. CONCLUSIONS: The proposed nomenclature provides a chain of succinct and unique terms spanning the signal created by a charged molecule down through each of its constituent subsignals. We suggest that additional community discussion of these terms should precede any further standardization efforts. BioMed Central 2015-04-23 /pmc/articles/PMC4423578/ /pubmed/25952148 http://dx.doi.org/10.1186/1471-2105-16-S7-S2 Text en Copyright © 2015 Smith et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Smith, Rob Taylor, Ryan M Prince, John T Current controlled vocabularies are insufficient to uniquely map molecular entities to mass spectrometry signal |
title | Current controlled vocabularies are insufficient to uniquely map molecular entities to mass spectrometry signal |
title_full | Current controlled vocabularies are insufficient to uniquely map molecular entities to mass spectrometry signal |
title_fullStr | Current controlled vocabularies are insufficient to uniquely map molecular entities to mass spectrometry signal |
title_full_unstemmed | Current controlled vocabularies are insufficient to uniquely map molecular entities to mass spectrometry signal |
title_short | Current controlled vocabularies are insufficient to uniquely map molecular entities to mass spectrometry signal |
title_sort | current controlled vocabularies are insufficient to uniquely map molecular entities to mass spectrometry signal |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4423578/ https://www.ncbi.nlm.nih.gov/pubmed/25952148 http://dx.doi.org/10.1186/1471-2105-16-S7-S2 |
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