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metID: an R package for automatable compound annotation for LC−MS-based data

SUMMARY: Accurate and efficient compound annotation is a long-standing challenge for LC–MS-based data (e.g. untargeted metabolomics and exposomics). Substantial efforts have been devoted to overcoming this obstacle, whereas current tools are limited by the sources of spectral information used (in-ho...

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Detalles Bibliográficos
Autores principales: Shen, Xiaotao, Wu, Si, Liang, Liang, Chen, Songjie, Contrepois, Kévin, Zhu, Zheng-Jiang, Snyder, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722759/
https://www.ncbi.nlm.nih.gov/pubmed/34432001
http://dx.doi.org/10.1093/bioinformatics/btab583
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author Shen, Xiaotao
Wu, Si
Liang, Liang
Chen, Songjie
Contrepois, Kévin
Zhu, Zheng-Jiang
Snyder, Michael
author_facet Shen, Xiaotao
Wu, Si
Liang, Liang
Chen, Songjie
Contrepois, Kévin
Zhu, Zheng-Jiang
Snyder, Michael
author_sort Shen, Xiaotao
collection PubMed
description SUMMARY: Accurate and efficient compound annotation is a long-standing challenge for LC–MS-based data (e.g. untargeted metabolomics and exposomics). Substantial efforts have been devoted to overcoming this obstacle, whereas current tools are limited by the sources of spectral information used (in-house and public databases) and are not automated and streamlined. Therefore, we developed metID, an R package that combines information from all major databases for comprehensive and streamlined compound annotation. metID is a flexible, simple and powerful tool that can be installed on all platforms, allowing the compound annotation process to be fully automatic and reproducible. A detailed tutorial and a case study are provided in Supplementary Materials. AVAILABILITY AND IMPLEMENTATION: https://jaspershen.github.io/metID. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-87227592022-01-05 metID: an R package for automatable compound annotation for LC−MS-based data Shen, Xiaotao Wu, Si Liang, Liang Chen, Songjie Contrepois, Kévin Zhu, Zheng-Jiang Snyder, Michael Bioinformatics Applications Notes SUMMARY: Accurate and efficient compound annotation is a long-standing challenge for LC–MS-based data (e.g. untargeted metabolomics and exposomics). Substantial efforts have been devoted to overcoming this obstacle, whereas current tools are limited by the sources of spectral information used (in-house and public databases) and are not automated and streamlined. Therefore, we developed metID, an R package that combines information from all major databases for comprehensive and streamlined compound annotation. metID is a flexible, simple and powerful tool that can be installed on all platforms, allowing the compound annotation process to be fully automatic and reproducible. A detailed tutorial and a case study are provided in Supplementary Materials. AVAILABILITY AND IMPLEMENTATION: https://jaspershen.github.io/metID. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-08-25 /pmc/articles/PMC8722759/ /pubmed/34432001 http://dx.doi.org/10.1093/bioinformatics/btab583 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Shen, Xiaotao
Wu, Si
Liang, Liang
Chen, Songjie
Contrepois, Kévin
Zhu, Zheng-Jiang
Snyder, Michael
metID: an R package for automatable compound annotation for LC−MS-based data
title metID: an R package for automatable compound annotation for LC−MS-based data
title_full metID: an R package for automatable compound annotation for LC−MS-based data
title_fullStr metID: an R package for automatable compound annotation for LC−MS-based data
title_full_unstemmed metID: an R package for automatable compound annotation for LC−MS-based data
title_short metID: an R package for automatable compound annotation for LC−MS-based data
title_sort metid: an r package for automatable compound annotation for lc−ms-based data
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722759/
https://www.ncbi.nlm.nih.gov/pubmed/34432001
http://dx.doi.org/10.1093/bioinformatics/btab583
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