MetaboAnalystR: An R package for flexible and reproducible analysis of metabolomics data

Bioinformatics

Volumn 34, Issue 24, 2018, Pages 4313-4314

  Chong, Jasmine ^a   Xia, Jianguo ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; METABOLOMICS; BIOLOGY; INTERNET; SOFTWARE; WORKFLOW;

COMPUTATIONAL BIOLOGY; INTERNET; METABOLOMICS; SOFTWARE; WORKFLOW;

EID: 85058492485     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/bty528     Document Type: Article

References (14)

1. Chong, J. et al. (2018) MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis. Nucleic Acids Res., 46, 486-494.
2. Davidson, R.L. et al. (2016) Galaxy-M: a galaxy workflow for processing and analyzing direct infusion and liquid chromatography mass spectrometry-based metabolomics data. Gigascience, 5, 10.
3. Gardinassi, L.G. et al. (2017) Bioinformatics tools for the interpretation of metabolomics data. Curr. Pharmacol. Rep., 3, 374-383.
4. Giacomoni, F. et al. (2015) Workflow4Metabolomics: a collaborative research infrastructure for computationalmetabolomics. Bioinformatics, 31, 1493-1495.
5. Griss, J. et al. (2014) The mzTab data exchange format: communicating mass-spectrometry-based proteomics and metabolomics experimental results to a wider audience. Mol. Cell. Proteomics, 13, 2765-2775.
6. Huan, T. et al. (2017) Systems biology guided by XCMS Online metabolomics. Nat. Methods, 14, 461.
7. Kuhn, M. (2008) Caret package. J. Stat. Softw., 28, 1-26.
8. Leisch, F.S. (2002) Sweave: dynamic generation of statistical reports using literate data analysis. In Compstat 2002 - Proceedings in Computational Statistics. Physika Verlag, Heidelberg, Germany, pp. 575-580.
9. Li, S. et al. (2013) Predicting network activity from high throughput metabolomics. PLoS Comput. Biol., 9, e1003123.
10. Sing, T. et al. (2005) ROCR: visualizing classifier performance in R. Bioinformatics, 21, 3940-3941.
11. Team, R. (2015) RStudio: IntegratedDevelopment for R. RStudio, Inc., Boston, MA.
12. Team, R.C. (2016) R: A Language and Environment for Statistical Computing [Computer Software]. R Foundation for Statistical Computing, Vienna.
13. Wickham, H. (2015) R Packages: Organize, Test, Document, and Share Your Code. O'Reilly Media, Inc., Boston, Massachusetts, USA.
14. Wishart, D.S. (2016) Emerging applications of metabolomics in drug discovery and precision medicine. Nat. Rev. Drug Discov., 15, 473-485.