# metid
**Repository Path**: jaspershen/metid
## Basic Information
- **Project Name**: metid
- **Description**: No description available
- **Primary Language**: R
- **License**: GPL-3.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-02-20
- **Last Updated**: 2024-05-31
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# metid
[](https://cran.r-project.org/package=metid)
[](https://github.com/tidymass/metid)
[](https://cran.r-project.org/package=metid)
[](https://www.tidyverse.org/lifecycle/#experimental)
`metid` is a part of [tidymass](https://tidymass.github.io/tidymass/)
-------
## About
`metid` is a R packge which is used for metabolite identification based
on in-house database and public database based on accurate mass (m/z),
rentention time (RT) and/or MS2 spectra.
## Installation
You can install `metid` from
[Github](https://github.com/tidymass/metid).
``` r
if(!require(remotes)){
install.packages("remotes")
}
remotes::install_github("tidymass/metid")
```
`metid` is a part of `tidymass`, so you can also install it by installing [`tidymass`](https://tidymass.github.io/tidymass/index.html).
## Usage
Please see the [Help document](https://tidymass.github.io/metid/articles/metid_introduction.html) 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 you publication, please cite this publication:
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)
Thanks very much!