Data and interpretation services
Service
We offer specialized analyses in individual omics technologies and we complement these services with multi-omics integration strategies, advanced statistical analysis, and the development of predictive models using machine learning algorithms. In addition, we apply virtual screening and target fishing methodologies to identify new therapeutic targets associated with bioactive compounds, thus facilitating the acceleration of drug discovery and translational research.
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
Data Science
High-resolution multi-omics processing and analysis.
Ideal for
Research centers, hospitals, emerging biotechs
360º Service
Frictionless omics data. We take care of everything.
Ideal for
Designed for teams who want results — not operational headaches.
Research
We design tailor-made solutions for complex challenges.
Ideal for
Deep tech startups, labs, innovation centers
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.
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.
