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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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. |
format | Online Article Text |
id | pubmed-8722759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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