AllCCS
is a R packge which is used for collision cross section value prediction using machine learning approach.
AllCCS web server provides complete functions (Database, Prediction, Identification). Welcome to visit.
You can install AllCCS
from Github.
# Install `AllCCS` from GitHub
if(!require(devtools)){
install.packages("devtools")
}
devtools::install_github("ZhuMetLab/AllCCS")
Please see the Get started
page to get the instruction of AllCCS
.
If you have any quesitions about AllCCS
, please don't hesitate to email me (zhouzw@sioc.ac.cn).
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
This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)