3. Data Analysis:
Data handling is a challenging and critical step in metabolomics, requiring expertise in bioinformatics, statistics, and specialized software.
At OWL Metabolomics, we utilize powerful informatics and statistical applications to manage metabolomics datasets. Our analytical platforms are supported by state-of-the-art software and visualization tools, enabling transformation of complex data into informative charts and graphs. We employ chemometric tools like PCA, PLS-DA, OPLS, and univariate statistical analysis.