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Metabolomics Data Analysis & Interpretation Services

AI-powered pipelines to transform raw LC/GC-MS data into clean, reproducible insights — from feature detection to pathway interpretation.

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Metabolomics Data Analysis

Transforming Complex Data into Clear Biological Insight

Transforming Complex Data into Clear Biological Insight
Metabolomics generates complex, high-dimensional datasets that require sophisticated processing pipelines for extracting reliable, interpretable results. Our AI-driven analysis pipeline is designed to process raw LC-MS and GC-MS data into clean, annotated datasets with high signal-to-noise ratio and minimal batch effects.

At Clarity Bio Systems, we use MSOne for intelligent signal processing - including noise reduction, peak detection, alignment, and normalization, followed by statistical analysis and visualization with MetaStat. The result: high-confidence features, publication-ready plots, and reproducible patterns across your samples.

Whether you have raw mass spectrometry files or already-processed feature tables, our workflows ensure consistent data cleaning, normalization, statistical validation, and visualization. This enables confident decision-making, publication, or integration with downstream modeling.

What you get

01

Clean, Processed Datasets

AI-powered peak detection, deconvolution, and alignment for high signal-to-noise results.

02

Batch-Corrected, Normalized Data

Eliminates technical variation, enabling reliable biological comparisons.

03

Statistical Analysis & Visualization

Univariate/multivariate stats (t-tests, PCA, PLS-DA) with volcano plots & clustering.

04

Biological Interpretation

Pathway enrichment, metabolite set analysis, and clear summary reports.

05

Publication-Ready Outputs

High-quality figures, annotated feature tables, and interpretation support

Pipelines Developed

Metabolomics Data Analysis is ideal for

Feature detection,   alignment, & normalization   from metabolomics data

Feature detection,
alignment, & normalization
from metabolomics data

Univariate and multivariate   statistical analysis (e.g., t-tests,   ANOVA, PCA, PLS-DA)

Univariate and multivariate
statistical analysis (e.g., t-tests,
ANOVA, PCA, PLS-DA)

Exploratory studies (untargeted   LC-MS/GC-MS data) for   biomarker discovery

Exploratory studies (untargeted
LC-MS/GC-MS data) for
biomarker discovery

Reanalysis of   existing metabolomics   datasets

Reanalysis of
existing metabolomics
datasets

Pathway enrichment and   functional interpretation   (KEGG, HMDB mapping)

Pathway enrichment and
functional interpretation
(KEGG, HMDB mapping)

Data integration with other   omics (transcriptomics,   proteomics)

Data integration with other
omics (transcriptomics,
proteomics)

Why choose Clarity for metabolomics

10,000+

Samples Analyzed

40+

Publications & patents

10+

Methods

30+

Clients & collaborators

500+

Metabolites

17

Completed Projects

10,000+

Samples Analyzed

40+

Publications & patents

10+

Methods

30+

Clients & collaborators

500+

Metabolites

17

Completed Projects

FAQs

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.

Turn Your Data into Discoveries

Whether you’re stuck with noisy results or planning analysis from scratch, our data experts can help you move forward with clarity.