Applications · Proteomics
Proteomics built for scale and signal clarity
Reveal and quantify peptide mass features across complex LC/MS datasets with a workflow built for scale, alignment, and signal clarity.
The challenge
Peptide mass features without the noise tax
Metablify analyzes the mass feature layer shared across LC/MS workflows so proteomics teams can recover more of what is real and spend less time on manual review.
Consistent signal is amplified and random noise is suppressed, so complex peptide datasets stay clean, aligned, and quantifiable.
- Database free: you aren’t limited by existing databases to get reliable peaks
Workflow
From complex runs to confident quantification
Three stages carry your proteomics data from raw signal to results ready for comparison.
01
Scale
Handle complex peptide datasets without losing signal clarity as runs multiply.
02
Align
Match peptide features across samples for comparative and quantitative analysis.
03
Clarify
Separate real signal from noise so quantification rests on confident features.
Outcomes
Recover more of what is real
Metablify helps proteomics teams recover more real peptide features while spending less time curating peaks, so effort shifts from cleanup to discovery.
Scale across complex peptide datasets
Align features for comparative analysis
Clarify signal for confident quantification
Where it fits
Built for real studies
Comparative proteomics
Compare peptide abundance across conditions with features aligned sample to sample.
Large study designs
Keep results stable as complex proteomics cohorts grow in size and depth.
Deep signal recovery
Recover peptide features that noise and legacy pipelines would otherwise hide.
Ready to apply Metablify to proteomics?
Bring us your samples, LC/MS data, or workflow challenge.
Discuss a Project