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Updated: Aug 5, 2026
09:10
A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
Published on: May 22, 2018
CAMEO: a CAZyme mapping engine optimized for HUMAnN
Matthew J Bolino1, Steven A Frese1,2
1Department of Nutrition, University of Nevada, Reno, Nevada, USA.
Microbiology Resource Announcements
|July 31, 2026
Summary
We developed CAMEO, a validated mapping file for carbohydrate-active enzymes (CAZymes), to overcome technical barriers in creating functional databases. This resource simplifies the implementation of CAZyme data for microbiome research.
Area of Science:
- Microbiology
- Bioinformatics
- Computational Biology
Background:
- Creating functional mapping databases for microbial enzymes presents technical challenges.
- Validated, user-friendly databases for enzyme analysis are scarce.
- The HUMAnN software requires specific mapping files for analyzing carbohydrate-active enzymes (CAZymes).
Purpose of the Study:
- To present CAMEO, a precomputed and validated mapping file for carbohydrate-active enzymes (CAZymes).
- To provide a method for constructing new CAZyme mapping files compatible with HUMAnN.
- To address the lack of accessible and validated CAZyme databases.
Main Methods:
- Development of a precomputed mapping file for CAZymes.
- Validation of the CAMEO mapping file.
- Description of an approach for generating new CAZyme mapping files.
Main Results:
- CAMEO offers a validated, ready-to-use mapping file for CAZymes.
- The presented approach enables the creation of custom CAZyme mapping files.
- Facilitates easier implementation of CAZyme data analysis within the HUMAnN framework.
Conclusions:
- CAMEO provides a significant resource for researchers studying CAZymes.
- The developed approach lowers the barrier to entry for utilizing CAZyme data in microbiome studies.
- Enhances the utility of tools like HUMAnN for functional microbiome analysis.
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