# metid **Repository Path**: tidymass/metid ## Basic Information - **Project Name**: metid - **Description**: metid repo - **Primary Language**: Unknown - **License**: GPL-3.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2022-09-17 - **Last Updated**: 2024-05-30 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # metid [![](https://www.r-pkg.org/badges/version/metid?color=green)](https://cran.r-project.org/package=metid) [![](https://img.shields.io/github/languages/code-size/tidymass/metid.svg)](https://github.com/tidymass/metid) [![Dependencies](https://tinyverse.netlify.com/badge/metid)](https://cran.r-project.org/package=metid) [![](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental) `metid` is a part of [tidymass](https://tidymass.github.io/tidymass/) ------- # About `metid` is a R package which is used for metabolite identification based on in-house database and public database based on accurate mass (m/z), retention time (RT) and/or MS2 spectra. # Installation You can install `metid` from [GitLab](https://gitlab.com/tidymass/metid) ``` r if(!require(remotes)){ install.packages("remotes") } remotes::install_gitlab("tidymass/metid") ``` or [Github](https://github.com/tidymass/metid) ``` r remotes::install_github("tidymass/metid") ``` `metid` is a part of `tidymass`, so you can also install it by installing [`tidymass`](https://www.tidymass.org/). # Usage Please see the `Help documents` page to get the instruction of `metid`. ## Need help? If you have any questions about `metid`, please don’t hesitate to email me (). [shenzutao1990](https://www.shenxt.info/files/wechat_QR.jpg) [Twitter](https://twitter.com/JasperShen1990) [M339, Alway Buidling, Cooper Lane, Palo Alto, CA 94304](https://www.google.com/maps/place/Alway+Building/@37.4322345,-122.1770883,17z/data=!3m1!4b1!4m5!3m4!1s0x808fa4d335c3be37:0x9057931f3b312c29!8m2!3d37.4322345!4d-122.1748996) # Citation If you use `metid` in your publications, please cite this paper: 1. Xiaotao Shen, Si Wu, Liang Liang, Songjie Chen, Kevin Contrepois, Zheng-Jiang Zhu\*, Michael Snyder\* (Corresponding Author). metID: A R package for automatable compound annotation for LC−MS-based data. Bioinformatics, btab583, [https://doi.org/10.1093/bioinformatics/btab583](https://doi.org/10.1093/bioinformatics/btab583) 2. Shen, X., Yan, H., Wang, C. et al. TidyMass an object-oriented reproducible analysis framework for LC–MS data. Nat Commun 13, 4365 (2022). [Weblink](https://www.nature.com/articles/s41467-022-32155-w) Thanks very much!