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Fluxer: a web application to compute, analyze and visualize genome-scale metabolic flux networks
Next-generation sequencing has paved the way for the reconstruction of genome-scale metabolic networks as a powerful tool for understanding metabolic circuits in any organism. However, the visualization and extraction of knowledge from these large networks comprising thousands of reactions and metab...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319574/ https://www.ncbi.nlm.nih.gov/pubmed/32442279 http://dx.doi.org/10.1093/nar/gkaa409 |
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author | Hari, Archana Lobo, Daniel |
author_facet | Hari, Archana Lobo, Daniel |
author_sort | Hari, Archana |
collection | PubMed |
description | Next-generation sequencing has paved the way for the reconstruction of genome-scale metabolic networks as a powerful tool for understanding metabolic circuits in any organism. However, the visualization and extraction of knowledge from these large networks comprising thousands of reactions and metabolites is a current challenge in need of user-friendly tools. Here we present Fluxer (https://fluxer.umbc.edu), a free and open-access novel web application for the computation and visualization of genome-scale metabolic flux networks. Any genome-scale model based on the Systems Biology Markup Language can be uploaded to the tool, which automatically performs Flux Balance Analysis and computes different flux graphs for visualization and analysis. The major metabolic pathways for biomass growth or for biosynthesis of any metabolite can be interactively knocked-out, analyzed and visualized as a spanning tree, dendrogram or complete graph using different layouts. In addition, Fluxer can compute and visualize the k-shortest metabolic paths between any two metabolites or reactions to identify the main metabolic routes between two compounds of interest. The web application includes >80 whole-genome metabolic reconstructions of diverse organisms from bacteria to human, readily available for exploration. Fluxer enables the efficient analysis and visualization of genome-scale metabolic models toward the discovery of key metabolic pathways. |
format | Online Article Text |
id | pubmed-7319574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73195742020-07-01 Fluxer: a web application to compute, analyze and visualize genome-scale metabolic flux networks Hari, Archana Lobo, Daniel Nucleic Acids Res Web Server Issue Next-generation sequencing has paved the way for the reconstruction of genome-scale metabolic networks as a powerful tool for understanding metabolic circuits in any organism. However, the visualization and extraction of knowledge from these large networks comprising thousands of reactions and metabolites is a current challenge in need of user-friendly tools. Here we present Fluxer (https://fluxer.umbc.edu), a free and open-access novel web application for the computation and visualization of genome-scale metabolic flux networks. Any genome-scale model based on the Systems Biology Markup Language can be uploaded to the tool, which automatically performs Flux Balance Analysis and computes different flux graphs for visualization and analysis. The major metabolic pathways for biomass growth or for biosynthesis of any metabolite can be interactively knocked-out, analyzed and visualized as a spanning tree, dendrogram or complete graph using different layouts. In addition, Fluxer can compute and visualize the k-shortest metabolic paths between any two metabolites or reactions to identify the main metabolic routes between two compounds of interest. The web application includes >80 whole-genome metabolic reconstructions of diverse organisms from bacteria to human, readily available for exploration. Fluxer enables the efficient analysis and visualization of genome-scale metabolic models toward the discovery of key metabolic pathways. Oxford University Press 2020-07-02 2020-05-22 /pmc/articles/PMC7319574/ /pubmed/32442279 http://dx.doi.org/10.1093/nar/gkaa409 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Web Server Issue Hari, Archana Lobo, Daniel Fluxer: a web application to compute, analyze and visualize genome-scale metabolic flux networks |
title | Fluxer: a web application to compute, analyze and visualize genome-scale metabolic flux networks |
title_full | Fluxer: a web application to compute, analyze and visualize genome-scale metabolic flux networks |
title_fullStr | Fluxer: a web application to compute, analyze and visualize genome-scale metabolic flux networks |
title_full_unstemmed | Fluxer: a web application to compute, analyze and visualize genome-scale metabolic flux networks |
title_short | Fluxer: a web application to compute, analyze and visualize genome-scale metabolic flux networks |
title_sort | fluxer: a web application to compute, analyze and visualize genome-scale metabolic flux networks |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319574/ https://www.ncbi.nlm.nih.gov/pubmed/32442279 http://dx.doi.org/10.1093/nar/gkaa409 |
work_keys_str_mv | AT hariarchana fluxerawebapplicationtocomputeanalyzeandvisualizegenomescalemetabolicfluxnetworks AT lobodaniel fluxerawebapplicationtocomputeanalyzeandvisualizegenomescalemetabolicfluxnetworks |