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11th International Conference of the Metabolomics Society

 

Place:  San Francisco, California

 

Attendees for OWL: Dr. David Balgoma

 

Poster title: OWL Stat App - An interactive web-application for univariate and multivariate metabolomics data analysis.

 

Authors: Ibon Martínez-Arranz, Maite Gutiérrez-Calzada, David Balgoma, Cristina Alonso

OWL Metabolomics, Derio, Bizkaia, Spain 

 

Abstract:

We have developed OWL Stat App, an easy-to-use web application for metabolomics data analysis. It combines powerful univariate and multivariate data analysis with pathway mapping tools and visualization capacities to facilitate interpretation of the results.

 

The available univariate statistical tests and visualization tools include a heatmap and an interactive volcano plot. By clicking on a metabolite of interest on the volcano plot, a description according to The Human Metabolome Database (HMDB) and Kyoto Encyclopedia of Genes and Genomes (KEGG) is provided, as well as a boxplot, histogram, density and Normal Q-Q plots, Shapiro-Wilk Normality Test, Student's t-Test (or Welch´s t test if unequal variances), outlier Analysis (following Chauvenet’s criterion), fold-change and ROC analysis. All mentioned statistical tests and graphical outputs can be recalculated applying different transformations to the variables.

 

In order to help in the interpretation of the metabolite’s changes in a biologically meaningful context, this app is linked to the pathway mapping tools of SMPDB and to pathway graphical outputs originally developed in our laboratory.

 

OWL Stat App also includes the following multivariate data analyses: principal component analysis (PCA); the study of the correlation between samples; a heatmap per sample, showing the relationship among the samples according to the metabolite levels and the hierarchical clustering.

 

OWL Stat App is a web application for metabolomics univariate and multivariate data analysis with visualization capacities to facilitate interpretation.

http://metabolomics2015.org/

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