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代谢组学工具箱:用于代谢组学数据分析、解读与综合探索的工具包

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

作者信息

Wanichthanarak Kwanjeera, Fan Sili, Grapov Dmitry, Barupal Dinesh Kumar, Fiehn Oliver

机构信息

West Coast Metabolomics Center, Genome Center, University of California Davis, Davis, California, United States of America.

Biochemistry Department, King Abdulaziz University, Jeddah, Saudi Arabia.

出版信息

PLoS One. 2017 Jan 31;12(1):e0171046. doi: 10.1371/journal.pone.0171046. eCollection 2017.

Abstract

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://kwanjeeraw.github.io/metabox/ under the GPL-3 license.

摘要

与基因组学和蛋白质组学平台类似,代谢组学数据的获取和分析正成为研究生物系统的常规方法。然而,代谢组学数据分析和整合的计算方法仍在不断成熟。Metabox是一个用于深度表型分析的生物信息学工具箱,它结合了数据处理、统计分析、功能分析以及在蛋白质组学和转录组学背景下对代谢组学数据的综合探索。由于每个分析模块提供了多种选项,它也支持其他“组学”家族的数据分析。该工具箱是一个基于R的网络应用程序,可在http://kwanjeeraw.github.io/metabox/ 上根据GPL-3许可免费获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9791/5283729/7b2dd0881c1e/pone.0171046.g001.jpg

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