PloS one, 2017-01, Vol.12 (1), p.e0171046-e0171046
2017
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Details
- Autor(en) / Beteiligte
- Titel
- Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration
- Ist Teil von
- PloS one, 2017-01, Vol.12 (1), p.e0171046-e0171046
- Ort / Verlag
- United States: Public Library of Science
- Erscheinungsjahr
- 2017
- Quelle
- MEDLINE
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1932-6203eISSN: 1932-6203DOI: 10.1371/journal.pone.0171046Titel-ID: cdi_plos_journals_1863196725
- Format
- –
- Schlagworte
- Adenocarcinoma - metabolism, Adenocarcinoma of Lung, Analysis, Analytics, Bioinformatics, Biological computing, Biology, Biology and Life Sciences, Cancer, Computational biology, Computer and Information Sciences, Computer applications, Data acquisition, Data analysis, Data bases, Data processing, Databases as Topic, DNA methylation, Exploration, Functional analysis, Gene expression, Genomes, Genomics, Humans, Hypotheses, Hypothesis testing, Lung Neoplasms - metabolism, Metabolism, Metabolites, Metabolome, Metabolomics, Metabolomics - methods, NMR, Nuclear magnetic resonance, Ontology, Phenotypes, Phenotyping, Physical Sciences, Proteins, Proteomics, Research and Analysis Methods, Software, Statistical analysis, Statistical analysis of data, Statistics as Topic