Data and interpretation services

Data and interpretation services

Biocrates makes metabolomics accessible to all. We help scientists better understand their metabolomics datasets to derive actionable results. We offer comprehensive statistical analysis and data interpretation packages for our in-house datasets, as well as any dataset produced with any one of our standardized kits.

Data analysis and biostatistics

Below is an example of data pre-processing and statistical analysis steps that are typically applied in our data analysis workflow. Each dataset is handled individually by our experts with pre-processing and statistical test methods customized for each project.

All our advanced statistical analysis packages are fully adaptable to any targeted metabolomics project and can include the following data preparation steps:

Data cleaning
Outlier analysis
Missing value imputation
Data normalization
Data transformation for further processing

Descriptive statistics are computed to study the overall shape of the dataset and include information such as min, max, mean, SD, median, IQR, etc… for every statistical group defined in the project.

Univariate statistics (t-test, ANOVA) and multivariate statistics are applied to identify the differences between statistical groups.

Graphical visualizations best suited to the project are produced.These usually include:

Boxplots
Principal component analysis (PCA)
Partial least squares discriminant analysis (PLS-DA)
Hierarchical cluster analysis (HCA) / heatmaps

Analysis on demand: additional statistical analyses can be performed upon request for each project.
Metabolite sums and ratios: exclusively for samples measured with the MxP® Quant 500 kit, additional data points are calculated based on metabolites sums and ratios using the MetaboINDICATOR™ tool.

We offer statistical analysis packages based on our kits regardless of whether samples were measured in our laboratories or at another facility.

Statistical analysis packages include the following:

Statistical report including all methodological details
Data files containing

raw data,
cleaned data
imputed data
transformed data

Graphical visualizations for univariate and multivariate analyses

Interpretation and pathway analysis

Confident decision making based on metabolomics requires comprehensive statistical analysis and expert interpretation of the data. With our data interpretation package, our experts bridge the gap between statistical significance and biological interpretation and meaning.

Data interpretation adds the following to the statistical package:

A state-of-the-art summary
Interpretation of results from the statistical package
Pathway analysis and visualizations

Whether the samples were measured at our laboratories or in a laboratory using one of our standardized kits, our data interpretation experts are available to help you make the most out of your datasets. Check out the detail of our data analysis & biostatistics package or contact us to learn more.