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

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

Author information

1
West Coast Metabolomics Center, Genome Center, University of California Davis, Davis, California, United States of America.
2
Biochemistry Department, King Abdulaziz University, Jeddah, Saudi Arabia.

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.

PMID:
28141874
PMCID:
PMC5283729
DOI:
10.1371/journal.pone.0171046
[Indexed for MEDLINE]
Free PMC Article

Conflict of interest statement

The authors have declared that no competing interests exist. Majority of Dr. Dmitry Grapov’s contribution to the manuscript occurred while he was not part of CDS and instead the Principal Statistician at the University of California Davis. We have changed his affiliation to reflect this fact and he maintains his stated no conflict of interest.

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