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XFlow: An algorithm for extracting ion chromatograms

Mass spectrometry is a fundamental tool for modern proteomics. The increasing availability of mass spectrometry data paired with the increasing sensitivity and fidelity of the instruments necessitates new and more potent analytical methods. To that end, we have created and present XFlow, a feature d...

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Detalles Bibliográficos
Autores principales: Gutierrez, Mathew, Smith, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580946/
https://www.ncbi.nlm.nih.gov/pubmed/33091000
http://dx.doi.org/10.1371/journal.pone.0227659
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author Gutierrez, Mathew
Smith, Rob
author_facet Gutierrez, Mathew
Smith, Rob
author_sort Gutierrez, Mathew
collection PubMed
description Mass spectrometry is a fundamental tool for modern proteomics. The increasing availability of mass spectrometry data paired with the increasing sensitivity and fidelity of the instruments necessitates new and more potent analytical methods. To that end, we have created and present XFlow, a feature detection algorithm for extracting ion chromatograms from MS1 LC-MS data. XFlow is a parameter-free procedurally agnostic feature detection algorithm that utilizes the latent properties of ion chromatograms to resolve them from the surrounding noise present in MS1 data. XFlow is designed to function on either profile or centroided data across different resolutions and instruments. This broad applicability lends XFlow strong utility as a one-size-fits-all method for MS1 analysis or target acquisition for MS2. XFlow is written in Java and packaged with JS-MS, an open-source mass spectrometry analysis toolkit.
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spelling pubmed-75809462020-10-27 XFlow: An algorithm for extracting ion chromatograms Gutierrez, Mathew Smith, Rob PLoS One Research Article Mass spectrometry is a fundamental tool for modern proteomics. The increasing availability of mass spectrometry data paired with the increasing sensitivity and fidelity of the instruments necessitates new and more potent analytical methods. To that end, we have created and present XFlow, a feature detection algorithm for extracting ion chromatograms from MS1 LC-MS data. XFlow is a parameter-free procedurally agnostic feature detection algorithm that utilizes the latent properties of ion chromatograms to resolve them from the surrounding noise present in MS1 data. XFlow is designed to function on either profile or centroided data across different resolutions and instruments. This broad applicability lends XFlow strong utility as a one-size-fits-all method for MS1 analysis or target acquisition for MS2. XFlow is written in Java and packaged with JS-MS, an open-source mass spectrometry analysis toolkit. Public Library of Science 2020-10-22 /pmc/articles/PMC7580946/ /pubmed/33091000 http://dx.doi.org/10.1371/journal.pone.0227659 Text en © 2020 Gutierrez, Smith 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 author and source are credited.
spellingShingle Research Article
Gutierrez, Mathew
Smith, Rob
XFlow: An algorithm for extracting ion chromatograms
title XFlow: An algorithm for extracting ion chromatograms
title_full XFlow: An algorithm for extracting ion chromatograms
title_fullStr XFlow: An algorithm for extracting ion chromatograms
title_full_unstemmed XFlow: An algorithm for extracting ion chromatograms
title_short XFlow: An algorithm for extracting ion chromatograms
title_sort xflow: an algorithm for extracting ion chromatograms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580946/
https://www.ncbi.nlm.nih.gov/pubmed/33091000
http://dx.doi.org/10.1371/journal.pone.0227659
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