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MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis
- Source :
- Nucleic Acids Research
- Publication Year :
- 2018
-
Abstract
- We present a new update to MetaboAnalyst (version 4.0) for comprehensive metabolomic data analysis, interpretation, and integration with other omics data. Since the last major update in 2015, MetaboAnalyst has continued to evolve based on user feedback and technological advancements in the field. For this year's update, four new key features have been added to MetaboAnalyst 4.0, including: (1) real-time R command tracking and display coupled with the release of a companion MetaboAnalystR package; (2) a MS Peaks to Pathways module for prediction of pathway activity from untargeted mass spectral data using the mummichog algorithm; (3) a Biomarker Meta-analysis module for robust biomarker identification through the combination of multiple metabolomic datasets and (4) a Network Explorer module for integrative analysis of metabolomics, metagenomics, and/or transcriptomics data. The user interface of MetaboAnalyst 4.0 has been reengineered to provide a more modern look and feel, as well as to give more space and flexibility to introduce new functions. The underlying knowledgebases (compound libraries, metabolite sets, and metabolic pathways) have also been updated based on the latest data from the Human Metabolome Database (HMDB). A Docker image of MetaboAnalyst is also available to facilitate download and local installation of MetaboAnalyst. MetaboAnalyst 4.0 is freely available at http://metaboanalyst.ca.
- Subjects :
- 0301 basic medicine
Biomarker identification
Databases, Factual
Datasets as Topic
Biology
Field (computer science)
Mass Spectrometry
03 medical and health sciences
User-Computer Interface
0302 clinical medicine
Metabolomics
Genetics
Humans
Human Metabolome Database
Spectral data
Information retrieval
030104 developmental biology
030220 oncology & carcinogenesis
Web Server Issue
Metabolome
User interface
User feedback
Algorithms
Biomarkers
Metabolic Networks and Pathways
Subjects
Details
- ISSN :
- 13624962
- Volume :
- 46
- Issue :
- W1
- Database :
- OpenAIRE
- Journal :
- Nucleic acids research
- Accession number :
- edsair.doi.dedup.....c9054c85a3c9cdfd13364e9b1fa3b258