Literature DB >> 21575673

Visualizing multi-omics data in metabolic networks with the software Omix: a case study.

Peter Droste1, Stephan Miebach, Sebastian Niedenführ, Wolfgang Wiechert, Katharina Nöh.   

Abstract

Systems Biology is a multi-disciplinary research field with the aim of understanding the function of complex processes in living organisms. These intracellular processes are described by biochemical networks. Experimental studies in alliance with computer simulation lead to a continually increasing amount of data in liaison with different layers of biochemical networks. Thus, visualization is very important for getting an overview of data in association with the network components. Omix is a software for the visualization of any data in biochemical networks. The unique feature of Omix is: the software is programmable by a scripting language called Omix Visualization Language (OVL). In Omix, the visualization of data coming from experiment or simulation is completely performed by the software user realized in concise OVL scripts. By this, visualization becomes most flexible and adaptable to the requirements of the user and can be adapted to new application fields. We present four case studies of visualizing data of diverse kind in biochemical networks on metabolic level by using Omix and the OVL scripting language. These worked examples demonstrate the power of OVL in conjunction with pleasing visualization, an important requirement for successful interdisciplinary communication in the interface between more experimental and more theoretical researchers.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 21575673     DOI: 10.1016/j.biosystems.2011.04.003

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  25 in total

Review 1.  Computational tools for metabolic engineering.

Authors:  Wilbert B Copeland; Bryan A Bartley; Deepak Chandran; Michal Galdzicki; Kyung H Kim; Sean C Sleight; Costas D Maranas; Herbert M Sauro
Journal:  Metab Eng       Date:  2012-05       Impact factor: 9.783

2.  Dynamic flux balance analysis with nonlinear objective function.

Authors:  Xiao Zhao; Stephan Noack; Wolfgang Wiechert; Eric von Lieres
Journal:  J Math Biol       Date:  2017-04-11       Impact factor: 2.259

3.  VANTED v2: a framework for systems biology applications.

Authors:  Hendrik Rohn; Astrid Junker; Anja Hartmann; Eva Grafahrend-Belau; Hendrik Treutler; Matthias Klapperstück; Tobias Czauderna; Christian Klukas; Falk Schreiber
Journal:  BMC Syst Biol       Date:  2012-11-10

4.  FluxMap: a VANTED add-on for the visual exploration of flux distributions in biological networks.

Authors:  Hendrik Rohn; Anja Hartmann; Astrid Junker; Björn H Junker; Falk Schreiber
Journal:  BMC Syst Biol       Date:  2012-05-01

5.  Metabolic engineering of a tyrosine-overproducing yeast platform using targeted metabolomics.

Authors:  Nicholas D Gold; Christopher M Gowen; Francois-Xavier Lussier; Sarat C Cautha; Radhakrishnan Mahadevan; Vincent J J Martin
Journal:  Microb Cell Fact       Date:  2015-05-28       Impact factor: 5.328

6.  Flux-p: automating metabolic flux analysis.

Authors:  Birgitta E Ebert; Anna-Lena Lamprecht; Bernhard Steffen; Lars M Blank
Journal:  Metabolites       Date:  2012-11-12

7.  Modelling central metabolic fluxes by constraint-based optimization reveals metabolic reprogramming of developing Solanum lycopersicum (tomato) fruit.

Authors:  Sophie Colombié; Christine Nazaret; Camille Bénard; Benoît Biais; Virginie Mengin; Marion Solé; Laëtitia Fouillen; Martine Dieuaide-Noubhani; Jean-Pierre Mazat; Bertrand Beauvoit; Yves Gibon
Journal:  Plant J       Date:  2014-11-10       Impact factor: 6.417

Review 8.  Mildew-Omics: How Global Analyses Aid the Understanding of Life and Evolution of Powdery Mildews.

Authors:  Laurence V Bindschedler; Ralph Panstruga; Pietro D Spanu
Journal:  Front Plant Sci       Date:  2016-02-15       Impact factor: 5.753

9.  Substrate cycles in Penicillium chrysogenum quantified by isotopic non-stationary flux analysis.

Authors:  Zheng Zhao; Angela Ten Pierick; Lodewijk de Jonge; Joseph J Heijnen; S Aljoscha Wahl
Journal:  Microb Cell Fact       Date:  2012-10-25       Impact factor: 5.328

10.  13CFLUX2--high-performance software suite for (13)C-metabolic flux analysis.

Authors:  Michael Weitzel; Katharina Nöh; Tolga Dalman; Sebastian Niedenführ; Birgit Stute; Wolfgang Wiechert
Journal:  Bioinformatics       Date:  2012-10-30       Impact factor: 6.937

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