Bioinformatics

Bioinformatics

The enormous amount of data generated by metabolomics studies can be overwhelming when compiled in just a spreadsheet. To gain biological insight and answer the core study question, data has to be processed and visualized. 

 

The collaborator will receive an interactive report containing a univariate analysis and related visualizations of results (e.g. fold change analysis, t-test, ANOVA, correlation analysis, volcano plot) as well as multivariate analysis (e.g. PCA, PLS-DA, OPLS-DA) and clustering analysis (e.g. heatmap, K-means clustering, and dendrogram analysis).

 

Our report is created utilizing proprietary software that makes certain easy to interact with, which makes browsing through results more precise and user-friendly. Collaborators can also export figures and exact visualizations in high resolution, publication-ready format straight from the report. 

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