MetaMapR
MetaMapR is an open-source, web-based or desktop software written in R programming language that integrates enzymatic transformations with metabolite structural similarity, mass spectral similarity, and empirical associations to generate richly connected metabolic networks. It leverages KEGG and PubChem databases to derive associations between metabolites, even in cases where biochemical domain or molecular annotations are unknown. The software is enhanced through an interface to the Chemical Translation System, which allows metabolite identifier translation between >200 common biochemical databases. The analysis results can be presented as interactive visualizations or can be exported as high-quality graphics and numerical tables that can be imported into common network analysis and visualization tools.
Topic
Systems biology;Molecular interactions, pathways and networks;Enzymes;Proteomics experiment
Detail
Operation: Pathway or network prediction
Software interface: Command-line user interface
Language: R
License: GNU General Public License, version 3
Cost: Free
Version name: v1.4 (manuscript release)
Credit: The National Institutes of Health NIH.
Input: -
Output: -
Contact: Oliver Fiehn ofiehn@ucdavis.edu
Collection: -
Maturity: -
Publications
- MetaMapR: pathway independent metabolomic network analysis incorporating unknowns.
- Grapov D, et al. MetaMapR: pathway independent metabolomic network analysis incorporating unknowns. MetaMapR: pathway independent metabolomic network analysis incorporating unknowns. 2015; 31:2757-60. doi: 10.1093/bioinformatics/btv194
- https://doi.org/10.1093/bioinformatics/btv194
- PMID: 25847005
- PMC: PMC4528626
Download and documentation
Source: https://github.com/dgrapov/MetaMapR/releases/tag/v1.4
Documentation: https://github.com/dgrapov/MetaMapR#readme
Home page: http://dgrapov.github.io/MetaMapR/
Links: http://ufpr.dl.sourceforge.net/project/metamapr/Metmapr%20v1.2.1%20tutorial%20v1.doc.pdf
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