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MetaboShiny: interactive analysis and metabolite annotation of mass spectrometry-based metabolomics data.
- Source :
-
Metabolomics . Sep2020, Vol. 16 Issue 9, pN.PAG-N.PAG. 1p. - Publication Year :
- 2020
-
Abstract
- Direct infusion untargeted mass spectrometry-based metabolomics allows for rapid insight into a sample's metabolic activity. However, analysis is often complicated by the large array of detected m/z values and the difficulty to prioritize important m/z and simultaneously annotate their putative identities. To address this challenge, we developed MetaboShiny, a novel R/RShiny-based metabolomics package featuring data analysis, database- and formula-prediction-based annotation and visualization. To demonstrate this, we reproduce and further explore a MetaboLights metabolomics bioinformatics study on lung cancer patient urine samples. MetaboShiny enables rapid and rigorous analysis and interpretation of direct infusion untargeted mass spectrometry-based metabolomics data. [ABSTRACT FROM AUTHOR]
- Subjects :
- *LATENT structure analysis
*ANNOTATIONS
*METABOLOMICS
*LUNG cancer
*DATA analysis
Subjects
Details
- Language :
- English
- ISSN :
- 15733882
- Volume :
- 16
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Metabolomics
- Publication Type :
- Academic Journal
- Accession number :
- 146224548
- Full Text :
- https://doi.org/10.1007/s11306-020-01717-8