Feature detection,
alignment, & normalization
from metabolomics data
Univariate and multivariate
statistical analysis (e.g., t-tests,
ANOVA, PCA, PLS-DA)
Exploratory studies (untargeted
LC-MS/GC-MS data) for
biomarker discovery
Reanalysis of
existing metabolomics
datasets
Pathway enrichment and
functional interpretation
(KEGG, HMDB mapping)
Data integration with other
omics (transcriptomics,
proteomics)
Samples Analyzed
Publications & patents
Methods
Clients & collaborators
Metabolites
Completed Projects
Samples Analyzed
Publications & patents
Methods
Clients & collaborators
Metabolites
Completed Projects
Yes. We accept raw or partially processed LC-MS/GC-MS data and can take over from any stage.
No. Our team runs the analysis for you, and for small-scale projects (<25 files), we can provide access to MSOne to explore your data independently.
Absolutely. MetaStat supports standalone use for statistical testing, visualization, and interpretation.
Yes. We offer support for time-resolved PCA, clustering, and change-point detection.
Yes. Our deliverables include high-resolution plots, annotated feature tables, and optional interpretation summaries.
Whether you’re stuck with noisy results or planning analysis from scratch, our data experts can help you move forward with clarity.