Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration

被引：68
|
作者：
Wanichthanarak, Kwanjeera [1 ]
Fan, Sili [1 ]
Grapov, Dmitry [1 ]
Barupal, Dinesh Kumar [1 ]
Fiehn, Oliver [1 ,2 ]
机构：
[1] Univ Calif Davis, Genome Ctr, West Coast Metab Ctr, Davis, CA 95616 USA
[2] King Abdulaziz Univ, Dept Biochem, Jeddah, Saudi Arabia
来源：
PLOS ONE | 2017年 / 12卷 / 01期
基金：
美国国家卫生研究院;
关键词：
GENE-EXPRESSION; O-GLCNAC; VISUALIZATION; INFORMATION; NETWORKS;
D O I：
10.1371/journal.pone.0171046
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Similar to genomic and proteomic platforms, metabolomic data acquisition and analysis is becoming a routine approach for investigating biological systems. However, computational approaches for metabolomic data analysis and integration are still maturing. Metabox is a bioinformatics toolbox for deep phenotyping analytics that combines data processing, statistical analysis, functional analysis and integrative exploration of metabolomic data within proteomic and transcriptomic contexts. With the number of options provided in each analysis module, it also supports data analysis of other `omic' families. The toolbox is an R-based web application, and it is freely available at http://kvvanjeeraw.gthub.io/metabox/undertheGPL-3 license.
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收藏
页数：14
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