Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration.
Similar to genomic and proteomic platforms, metabolomic data acquisition and analysis is becoming a routine approach for investigating biological systems. However, computational approaches for metabolomic data analysis and integration are still maturing. Metabox is a bioinformatics toolbox for deep...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2017-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5283729?pdf=render |
| _version_ | 1818357110007660544 |
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| author | Kwanjeera Wanichthanarak Sili Fan Dmitry Grapov Dinesh Kumar Barupal Oliver Fiehn |
| author_facet | Kwanjeera Wanichthanarak Sili Fan Dmitry Grapov Dinesh Kumar Barupal Oliver Fiehn |
| author_sort | Kwanjeera Wanichthanarak |
| collection | DOAJ |
| description | Similar to genomic and proteomic platforms, metabolomic data acquisition and analysis is becoming a routine approach for investigating biological systems. However, computational approaches for metabolomic data analysis and integration are still maturing. Metabox is a bioinformatics toolbox for deep phenotyping analytics that combines data processing, statistical analysis, functional analysis and integrative exploration of metabolomic data within proteomic and transcriptomic contexts. With the number of options provided in each analysis module, it also supports data analysis of other 'omic' families. The toolbox is an R-based web application, and it is freely available at http://kwanjeeraw.github.io/metabox/ under the GPL-3 license. |
| first_indexed | 2024-12-13T20:07:53Z |
| format | Article |
| id | doaj.art-aad4dc517ddf4035bce760e28a27c1f2 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-13T20:07:53Z |
| publishDate | 2017-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-aad4dc517ddf4035bce760e28a27c1f22022-12-21T23:32:58ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01121e017104610.1371/journal.pone.0171046Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration.Kwanjeera WanichthanarakSili FanDmitry GrapovDinesh Kumar BarupalOliver FiehnSimilar to genomic and proteomic platforms, metabolomic data acquisition and analysis is becoming a routine approach for investigating biological systems. However, computational approaches for metabolomic data analysis and integration are still maturing. Metabox is a bioinformatics toolbox for deep phenotyping analytics that combines data processing, statistical analysis, functional analysis and integrative exploration of metabolomic data within proteomic and transcriptomic contexts. With the number of options provided in each analysis module, it also supports data analysis of other 'omic' families. The toolbox is an R-based web application, and it is freely available at http://kwanjeeraw.github.io/metabox/ under the GPL-3 license.http://europepmc.org/articles/PMC5283729?pdf=render |
| spellingShingle | Kwanjeera Wanichthanarak Sili Fan Dmitry Grapov Dinesh Kumar Barupal Oliver Fiehn Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration. PLoS ONE |
| title | Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration. |
| title_full | Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration. |
| title_fullStr | Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration. |
| title_full_unstemmed | Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration. |
| title_short | Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration. |
| title_sort | metabox a toolbox for metabolomic data analysis interpretation and integrative exploration |
| url | http://europepmc.org/articles/PMC5283729?pdf=render |
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