Comparison
Metablify and MS-DIAL
MS-DIAL is one of the best free tools available, especially for deconvolution and library based annotation. Comparing it fairly means naming those strengths first, then being precise about where recovery and cohort scale still ask for more.
About MS-DIAL
What MS-DIAL does well
MS-DIAL is a free processor for untargeted metabolomics and lipidomics with strong spectral deconvolution and extensive built in libraries, supporting both data dependent and data independent acquisition. It has a graphical interface, active development, and a large user base, and its lipidomics annotation in particular is widely respected. For many labs MS-DIAL delivers a complete path from raw data to annotated features at no cost.
- Excellent spectral deconvolution, including strong handling of data independent acquisition.
- Extensive built in spectral libraries, with especially strong lipid annotation.
- Free, actively developed, and approachable through a graphical interface.
Side by side
How they compare
| Criterion | Metablify | MS-DIAL |
|---|---|---|
| Annotation libraries | Feature layer processing, output ready for your annotation tools | Rich built in libraries, strong for lipids and common classes |
| Deconvolution | Feature grouping from cohort wide agreement | Mature deconvolution, a core strength |
| Cohort scale recovery | Designed for recovery and alignment across large cohorts | Capable, with scale and tuning managed by the analyst |
| Delivery | Run as a project by the Metablify team | Self operated desktop application |
Be honest
When MS-DIAL is the right choice
Choose MS-DIAL when annotation coverage matters most, especially in lipidomics, when you want a free tool with a graphical interface, and when your studies fit comfortably on a workstation. Its deconvolution and libraries are genuine strengths, and for many untargeted projects it is an excellent and complete solution on its own.
Better together
Where Metablify complements it
Because MS-DIAL is strong at deconvolution and annotation, a natural division of labor is to use Metablify for recovery and alignment on a large or difficult cohort and MS-DIAL for annotation of the resulting features. The two address different parts of the problem, so pairing them is often more sensible than replacing one with the other.
What matters
Where this makes a difference
Annotation is a real strength
MS-DIAL libraries, especially for lipids, are excellent. A comparison that ignored that would not be credible with anyone who has used the tool.
Recovery is a separate problem
Deconvolution and annotation still depend on which real features enter the table. Metablify concentrates on recovery and cross cohort alignment, ahead of annotation.
Pair, do not replace
Use Metablify to recover and align a large cohort, then annotate the result in MS-DIAL. The two address different parts of the pipeline.
Questions
Common questions
Does Metablify annotate compounds like MS-DIAL?
Metablify concentrates on recovery, alignment, and quantification at the feature layer. It produces a clean feature table you can annotate in the tool of your choice, including MS-DIAL, whose libraries are a real strength.
Which is better for lipidomics?
MS-DIAL has excellent lipid annotation and is hard to beat there. Metablify can improve recovery and alignment of lipid features across a large cohort, then hand those features to MS-DIAL for annotation, so the honest answer is that they work well together.
Keep reading
Related
Prove it on your own data
Send a limited set of your existing LC/MS data and see how many additional real mass features are recovered against your current output.
Send a cohort and compare recovered, aligned features against your MS-DIAL output.