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  • Title: metID: an R package for automatable compound annotation for LC-MS-based data.
    Author: Shen X, Wu S, Liang L, Chen S, Contrepois K, Zhu ZJ, Snyder M.
    Journal: Bioinformatics; 2022 Jan 03; 38(2):568-569. PubMed ID: 34432001.
    Abstract:
    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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