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MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis.

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TLDR
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.
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.

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Journal ArticleDOI

MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights.

TL;DR: The MetaboAnalyst 5.0 as mentioned in this paper is the latest version of the web-based platform for comprehensive metabolomics data analysis and interpretation, aiming to narrow the gap from raw data to functional insights for global metabolomics based on HRMS.
Journal ArticleDOI

Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis.

TL;DR: An overview of the main functional modules and the general workflow of MetaboAnalyst 4.0 is provided, followed by 12 detailed protocols: © 2019 by John Wiley & Sons, Inc.
Journal ArticleDOI

Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data.

TL;DR: This protocol details MicrobiomeAnalyst, a user-friendly, web-based platform for comprehensive statistical, functional, and meta-analysis of microbiome data, a one-stop shop that enables microbiome researchers to thoroughly explore their preprocessed microbiome data via intuitive web interfaces.
Journal ArticleDOI

MetaboAnalystR: an R package for flexible and reproducible analysis of metabolomics data.

Jasmine Chong, +1 more
- 15 Dec 2018 - 
TL;DR: A companion R package based on the R code base of the MetaboAnalyst web server to facilitate transparent, flexible and reproducible analysis of metabolomics data.
Journal ArticleDOI

Energy-stress-mediated AMPK activation inhibits ferroptosis.

TL;DR: It is found that ferroptotic cell death and lipid peroxidation can be inhibited by treatments that induce or mimic energy stress, and an unexpected coupling between ferroPTosis and AMPK-mediated energy-stress signalling is revealed.
References
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Journal ArticleDOI

MetaboAnalyst 3.0—making metabolomics more meaningful

TL;DR: By completely re-implementing the MetaboAnalyst suite using the latest web framework technologies, the server has been able to substantially improve its performance, capacity and user interactivity.
Journal ArticleDOI

METLIN: a metabolite mass spectral database.

TL;DR: METLIN includes an annotated list of known metabolite structural information that is easily cross-correlated with its catalogue of high-resolution Fourier transform mass spectrometry (FTMS) spectra, tandem mass spectrumetry (MS/MS) Spectra, and LC/MS data.
Journal ArticleDOI

Innovation: Metabolomics: the apogee of the omics trilogy

TL;DR: By performing global metabolite profiling, also known as untargeted metabolomics, new discoveries linking cellular pathways to biological mechanism are being revealed and are shaping the understanding of cell biology, physiology and medicine.
Journal ArticleDOI

MetaboAnalyst: a web server for metabolomic data analysis and interpretation

TL;DR: A freely accessible, easy-to-use web server for metabolomic data analysis called MetaboAnalyst, which supports such techniques as: fold change analysis, t-tests, PCA, PLS-DA, hierarchical clustering and a number of more sophisticated statistical or machine learning methods.
Journal ArticleDOI

Metabolomics: beyond biomarkers and towards mechanisms

TL;DR: Because of the inherent sensitivity of metabolomics, subtle alterations in biological pathways can be detected to provide insight into the mechanisms that underlie various physiological conditions and aberrant processes, including diseases.
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