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 · 2022

other · Level V

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Abstract

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. https://jaspershen.github.io/metID. Supplementary data are available at Bioinformatics online.

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