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MassTRIX Reloaded: Combined Analysis and Visualization of Transcriptome and Metabolome Data

Systems Biology is a field in biological science that focuses on the combination of several or all “omics”-approaches in order to find out how genes, transcripts, proteins and metabolites act together in the network of life. Metabolomics as analog to genomics, transcriptomics and proteomics is more...

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Detalles Bibliográficos
Autores principales: Wägele, Brigitte, Witting, Michael, Schmitt-Kopplin, Philippe, Suhre, Karsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3391204/
https://www.ncbi.nlm.nih.gov/pubmed/22815716
http://dx.doi.org/10.1371/journal.pone.0039860
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author Wägele, Brigitte
Witting, Michael
Schmitt-Kopplin, Philippe
Suhre, Karsten
author_facet Wägele, Brigitte
Witting, Michael
Schmitt-Kopplin, Philippe
Suhre, Karsten
author_sort Wägele, Brigitte
collection PubMed
description Systems Biology is a field in biological science that focuses on the combination of several or all “omics”-approaches in order to find out how genes, transcripts, proteins and metabolites act together in the network of life. Metabolomics as analog to genomics, transcriptomics and proteomics is more and more integrated into biological studies and often transcriptomic and metabolomic experiments are combined in one setup. At a first glance both data types seem to be completely different, but both produce information on biological entities, either transcripts or metabolites. Both types can be overlaid on metabolic pathways to obtain biological information on the studied system. For the joint analysis of both data types the MassTRIX webserver was updated. MassTRIX is freely available at www.masstrix.org.
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spelling pubmed-33912042012-07-19 MassTRIX Reloaded: Combined Analysis and Visualization of Transcriptome and Metabolome Data Wägele, Brigitte Witting, Michael Schmitt-Kopplin, Philippe Suhre, Karsten PLoS One Research Article Systems Biology is a field in biological science that focuses on the combination of several or all “omics”-approaches in order to find out how genes, transcripts, proteins and metabolites act together in the network of life. Metabolomics as analog to genomics, transcriptomics and proteomics is more and more integrated into biological studies and often transcriptomic and metabolomic experiments are combined in one setup. At a first glance both data types seem to be completely different, but both produce information on biological entities, either transcripts or metabolites. Both types can be overlaid on metabolic pathways to obtain biological information on the studied system. For the joint analysis of both data types the MassTRIX webserver was updated. MassTRIX is freely available at www.masstrix.org. Public Library of Science 2012-07-06 /pmc/articles/PMC3391204/ /pubmed/22815716 http://dx.doi.org/10.1371/journal.pone.0039860 Text en Wägele et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wägele, Brigitte
Witting, Michael
Schmitt-Kopplin, Philippe
Suhre, Karsten
MassTRIX Reloaded: Combined Analysis and Visualization of Transcriptome and Metabolome Data
title MassTRIX Reloaded: Combined Analysis and Visualization of Transcriptome and Metabolome Data
title_full MassTRIX Reloaded: Combined Analysis and Visualization of Transcriptome and Metabolome Data
title_fullStr MassTRIX Reloaded: Combined Analysis and Visualization of Transcriptome and Metabolome Data
title_full_unstemmed MassTRIX Reloaded: Combined Analysis and Visualization of Transcriptome and Metabolome Data
title_short MassTRIX Reloaded: Combined Analysis and Visualization of Transcriptome and Metabolome Data
title_sort masstrix reloaded: combined analysis and visualization of transcriptome and metabolome data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3391204/
https://www.ncbi.nlm.nih.gov/pubmed/22815716
http://dx.doi.org/10.1371/journal.pone.0039860
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