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. 2018 Feb 27;14(4):37. doi: 10.1007/s11306-018-1335-y

Table 1.

Tools for mapping metabolites into biochemical pathways

Name Description Reference URL
NA Refine mass assignments through the intersection of peak correlation pairs with a database of biochemically relevant interaction pairs Gipson et al. (2008) NA
Metabolome Searcher Simplify database search in MS databases by limiting the query to genome plausible metabolites Dhanasekaran et al. (2015) http://procyc.westcent.usu.edu/cgi-bin/MetaboSearcher.cgi
MassTRIX Presents the MS identified chemical compounds in their genomic context as differentially coloured objects on KEGG pathway maps Suhre and Schmitt-Kopplin (2008) http://masstrix3.helmholtz-muenchen.de/masstrix3/
MetaMapp Map the detected metabolites in a MS experiment in a network graph Barupal et al. (2012) NA
MetExplore To provide an interactive visualization of metabolic networks (or sub-networks) to mine metabolomics data Cottret et al. (2010) http://metexplore.toulouse.inra.fr/joomla3/index.php
Paintomics Provide a simple but effective resource for integrated visualization in studies where transcriptomics and metabolomics data are generated on the same set of samples García-Alcalde et al. (2011) http://www.paintomics.org
KaPPa-View A web-based tool for representing quantitative data for individual transcripts and/or metabolites on plant metabolic pathway maps Tokimatsu et al. (2005) http://kpv.kazusa.or.jp/
MapMan A user-driven tool that displays large data sets onto diagrams of metabolic pathways or other processes Thimm et al. (2004) http://mapman.gabipd.org/web/guest
ProMeTra Visualizes and combines datasets from transcriptomics, proteomics, and metabolomics on user defined metabolic pathway maps, with the ability to generate enriched SVG images or animations via a user-friendly web interface Neuweger et al. (2009) https://omictools.com/prometra-tool
Metscape Allows users to trace the connections between metabolites and genes, visualize compound networks and display compound structures as well as information for reactions, enzymes, genes, and pathways Gao et al. (2010) http://metscape.ncibi.org/