Innovative Multi-Omics Technology
for Unparalleled Insights
Data Analysis
Panome Bio has developed the only software that enables an accurate, truly untargeted approach to metabolomics and proteomics. In our metabolomics workflow, metabolite signals are detected, aligned, and quantified in each sample. Proprietary algorithms are used to remove non-biological or redundant information. Experimental data such as natural abundance isotope patterns, retention times, and MS/MS fragmentation data is matched to a comprehensive database of over 170k compounds from sources such as HMDB, RefMet, and LipidMaps. Our proteomics data analysis involves a library-free search based on the reference proteome of the organism to quantify relative peptide abundances. These measurements are then aggregated into a single protein abundance measurement. After identifying the metabolites and proteins, an in-depth statistical analysis of the levels is performed according to the needs of the project. This commonly includes unsupervised analyses (e.g., PCA, HCA), supervised analysis (ANOVA, PLS-DA, SVMs, other machine learning analyses), and pathway analysis.