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A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
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Metadag: a web tool to generate and analyse metabolic networks
Pere Palmer-Rodríguez1, Ricardo Alberich2, Mariana Reyes-Prieto3
1Mathematics and Computer Science Department, University of the Balearic Islands, Ctra Valldemossa, Km 7.5, Palma, 07122, Balearic Islands, Spain. pere.palmer@uib.es.
BMC Bioinformatics
|January 28, 2025
Summary
MetaDAG is a tool for reconstructing and analyzing metabolic networks from omics data. It simplifies complex biological data, aiding in organism classification and diet analysis for biological research.
Area of Science:
- Bioinformatics
- Systems Biology
- Metabolomics
Background:
- Omics technologies generate large datasets, posing challenges for metabolic network reconstruction and analysis.
- MetaDAG is a web-based tool designed to address these big data challenges.
- It utilizes data from the KEGG database for comprehensive metabolic network construction.
Purpose of the Study:
- To develop a versatile tool for metabolic network reconstruction and analysis.
- To enable efficient visualization and analysis of complex metabolic interactions.
- To facilitate large-scale biological comparisons using omics data.
Main Methods:
- MetaDAG computes reaction graphs and metabolic directed acyclic graphs (m-DAGs).
- It simplifies reaction graphs by collapsing strongly connected components.
- The tool accepts various inputs, including KEGG organisms, reactions, enzymes, and KO identifiers.
Main Results:
- MetaDAG successfully classified eukaryotic organisms at kingdom and phylum levels.
- The tool accurately distinguished between Western and Korean diets in a microbiome study.
- It categorized individuals by weight loss outcomes based on dietary interventions.
Conclusions:
- MetaDAG provides an effective solution for metabolic network reconstruction from diverse data.
- The tool's ability to generate synthetic metabolisms supports broad applications in biological research.
- MetaDAG is accessible online with comprehensive user support.
