注释
计算机科学
过程(计算)
R包
情报检索
软件
数据挖掘
数据库
人工智能
程序设计语言
作者
Xiaotao Shen,Si Wu,Liang Liang,Songjie Chen,Kévin Contrepois,Zheng‐Jiang Zhu,M Snyder
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2021-08-25
卷期号:38 (2): 568-569
被引量:34
标识
DOI:10.1093/bioinformatics/btab583
摘要
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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