International Journal of Molecular SciencesBioinformaticsPeer-reviewed journal article
MPA_Pathway_Tool: User-friendly, automatic assignment of microbial community data on metabolic pathways
Daniel WalkeiD, Kay SchallertiD, Prasanna RameshiD, Dirk BenndorfiD, Emanuel LangeiD, Udo ReichliD, Robert HeyeriD
Abstract
MotivationTaxonomic and functional characterization of microbial communities from diverse environments such as the human gut or biogas plants by multi-omics methods plays an ever more important role. Researchers assign all identified genes, transcripts, or proteins to biological pathways to better understand the function of single species and microbial communities. However, due to the versatility of microbial metabolism and a still increasing number of new biological pathways, linkage to standard pathway maps such as the KEGG (Kyoto Encyclopedia of Genes and Genomes) central carbon metabolism is often problematic. ResultsWe successfully implemented and validated a new user-friendly, stand-alone web application, the MPA_Pathway_Tool. It consists of two parts, called Pathway-Creator and Pathway-Calculator. The Pathway-Creator enables an easy setup of user-defined pathways with specific taxonomic constraints. The Pathway-Calculator automatically maps microbial community data from multiple measurements on selected pathways and visualizes the results. Availability and ImplementationThe MPA_Pathway_Tool is implemented in Java and ReactJS. It is freely available on http://mpa-pathwaymapper.ovgu.de/. Further documentation and the complete source code are available on GitHub (https://github.com/danielwalke/MPA_Pathway_Tool). Contactdaniel.walke@ovgu.de, mailto:heyer@mpi-magdeburg.mpg.de heyer@mpi-magdeburg.mpg.de Supplementary InformationAdditional files and images are available at MDPI online. Highlightsuser-friendly generation of pathways, re-using of existent metabolic pathways, automated mapping of data
- assay: metagenomics
- research focus: software / tool
- research focus: benchmarking
- approach: experimental assay
- Citations
- 7
- FWCI
- 0.31
- Field percentile
- 48th percentile
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