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A web-based system for creating, viewing, and editing precursor mass spectrometry ground truth data
BACKGROUND: Mass spectrometry (MS) uses mass-to-charge ratios of measured particles to decode the identities and quantities of molecules in a sample. Interpretation of raw MS depends upon data processing algorithms that render it human-interpretable. Quantitative MS workflows are complex experimenta...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517820/ https://www.ncbi.nlm.nih.gov/pubmed/32972355 http://dx.doi.org/10.1186/s12859-020-03752-7 |
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author | Henning, Jessica Smith, Rob |
author_facet | Henning, Jessica Smith, Rob |
author_sort | Henning, Jessica |
collection | PubMed |
description | BACKGROUND: Mass spectrometry (MS) uses mass-to-charge ratios of measured particles to decode the identities and quantities of molecules in a sample. Interpretation of raw MS depends upon data processing algorithms that render it human-interpretable. Quantitative MS workflows are complex experimental chains and it is crucial to know the performance and bias of each data processing method as they impact accuracy, coverage, and statistical significance of the result. Creation of the ground truth necessary for quantitatively evaluating MS1-aware algorithms is difficult and tedious task, and better software for creating such datasets would facilitate more extensive evaluation and improvement of MS data processing algorithms. RESULTS: We present JS-MS 2.0, a software suite that provides a dependency-free, browser-based, one click, cross-platform solution for creating MS1 ground truth. The software retains the first version’s capacity for loading, viewing, and navigating MS1 data in 2- and 3-D, and adds tools for capturing, editing, saving, and viewing isotopic envelope and extracted isotopic chromatogram features. The software can also be used to view and explore the results of feature finding algorithms. CONCLUSIONS: JS-MS 2.0 enables faster creation and inspection of MS1 ground truth data. It is publicly available with an MIT license at github.com/optimusmoose/jsms. |
format | Online Article Text |
id | pubmed-7517820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75178202020-09-29 A web-based system for creating, viewing, and editing precursor mass spectrometry ground truth data Henning, Jessica Smith, Rob BMC Bioinformatics Software BACKGROUND: Mass spectrometry (MS) uses mass-to-charge ratios of measured particles to decode the identities and quantities of molecules in a sample. Interpretation of raw MS depends upon data processing algorithms that render it human-interpretable. Quantitative MS workflows are complex experimental chains and it is crucial to know the performance and bias of each data processing method as they impact accuracy, coverage, and statistical significance of the result. Creation of the ground truth necessary for quantitatively evaluating MS1-aware algorithms is difficult and tedious task, and better software for creating such datasets would facilitate more extensive evaluation and improvement of MS data processing algorithms. RESULTS: We present JS-MS 2.0, a software suite that provides a dependency-free, browser-based, one click, cross-platform solution for creating MS1 ground truth. The software retains the first version’s capacity for loading, viewing, and navigating MS1 data in 2- and 3-D, and adds tools for capturing, editing, saving, and viewing isotopic envelope and extracted isotopic chromatogram features. The software can also be used to view and explore the results of feature finding algorithms. CONCLUSIONS: JS-MS 2.0 enables faster creation and inspection of MS1 ground truth data. It is publicly available with an MIT license at github.com/optimusmoose/jsms. BioMed Central 2020-09-23 /pmc/articles/PMC7517820/ /pubmed/32972355 http://dx.doi.org/10.1186/s12859-020-03752-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Software Henning, Jessica Smith, Rob A web-based system for creating, viewing, and editing precursor mass spectrometry ground truth data |
title | A web-based system for creating, viewing, and editing precursor mass spectrometry ground truth data |
title_full | A web-based system for creating, viewing, and editing precursor mass spectrometry ground truth data |
title_fullStr | A web-based system for creating, viewing, and editing precursor mass spectrometry ground truth data |
title_full_unstemmed | A web-based system for creating, viewing, and editing precursor mass spectrometry ground truth data |
title_short | A web-based system for creating, viewing, and editing precursor mass spectrometry ground truth data |
title_sort | web-based system for creating, viewing, and editing precursor mass spectrometry ground truth data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517820/ https://www.ncbi.nlm.nih.gov/pubmed/32972355 http://dx.doi.org/10.1186/s12859-020-03752-7 |
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