ZhuMetLab / AllCCS

Source code of AllCCS. Prediction function was provided in AllCCS web server (http://allccs.zhulab.cn/).
http://allccs.zhulab.cn/
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AllCCS

About

AllCCS is a R packge which is used for collision cross section value prediction using machine learning approach.

Web server

AllCCS web server provides complete functions (Database, Prediction, Identification). Welcome to visit.

Installation

You can install AllCCS from Github.

# Install `AllCCS` from GitHub
if(!require(devtools)){
install.packages("devtools")
}
devtools::install_github("ZhuMetLab/AllCCS")

Usage

Please see the Get started page to get the instruction of AllCCS.

Need help?

If you have any quesitions about AllCCS, please don't hesitate to email me (zhouzw@sioc.ac.cn).

Citation

This free open-source software implements academic research by the authors and co-workers. If you use it, please support the project by citing the appropriate journal articles.

Z. Zhou, M. Luo, X. Chen, Y. Yin, X. Xiong, R. Wang, and Z.-J. Zhu*, Ion Mobility Collision Cross-Section Atlas for Known and Unknown Metabolite Annotation in Untargeted Metabolomics, Nature Communications, 2020, 11: 4334. link

License

Creative Commons License This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)