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 proteomic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2012-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3391204?pdf=render |
| _version_ | 1811325824316473344 |
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| author | Brigitte Wägele Michael Witting Philippe Schmitt-Kopplin Karsten Suhre |
| author_facet | Brigitte Wägele Michael Witting Philippe Schmitt-Kopplin Karsten Suhre |
| author_sort | Brigitte Wägele |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-13T14:40:18Z |
| format | Article |
| id | doaj.art-17af9b3bb7eb4d9a909e7129b0aec580 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T14:40:18Z |
| publishDate | 2012-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-17af9b3bb7eb4d9a909e7129b0aec5802022-12-22T02:42:55ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0177e3986010.1371/journal.pone.0039860MassTRIX reloaded: combined analysis and visualization of transcriptome and metabolome data.Brigitte WägeleMichael WittingPhilippe Schmitt-KopplinKarsten SuhreSystems 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.http://europepmc.org/articles/PMC3391204?pdf=render |
| spellingShingle | Brigitte Wägele Michael Witting Philippe Schmitt-Kopplin Karsten Suhre MassTRIX reloaded: combined analysis and visualization of transcriptome and metabolome data. PLoS ONE |
| 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 |
| url | http://europepmc.org/articles/PMC3391204?pdf=render |
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