Department of Surgery and Cancer, Computational and Systems Medicine, Imperial College London, UK.
Division of Myocardial Function, National Heart and Lung Institute, Imperial College London, UK.
Bioinformatics. 2018 Mar 1;34(5):890-892. doi: 10.1093/bioinformatics/btx477.
MWASTools is an R package designed to provide an integrated pipeline to analyse metabonomic data in large-scale epidemiological studies. Key functionalities of our package include: quality control analysis; metabolome-wide association analysis using various models (partial correlations, generalized linear models); visualization of statistical outcomes; metabolite assignment using statistical total correlation spectroscopy (STOCSY); and biological interpretation of metabolome-wide association studies results.
The MWASTools R package is implemented in R (version > =3.4) and is available from Bioconductor: https://bioconductor.org/packages/MWASTools/.
Supplementary data are available at Bioinformatics online.
MWASTools 是一个 R 包，旨在为大规模流行病学研究中的代谢组学数据分析提供一个集成的分析流程。我们的软件包的主要功能包括：质量控制分析；使用各种模型（偏相关、广义线性模型）进行代谢组关联分析；统计结果可视化；使用统计全相关光谱（STOCSY）进行代谢物分配；以及对代谢组关联研究结果进行生物学解释。
MWASTools R 包是在 R（版本 > =3.4）中实现的，并可从 Bioconductor 获得：https://bioconductor.org/packages/MWASTools/。
补充数据可在 Bioinformatics 在线获得。
