scispace - formally typeset
Open AccessJournal ArticleDOI

MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis.

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.

read more

Content maybe subject to copyright    Report

Citations
More filters
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
More filters
Journal ArticleDOI

KEGG: new perspectives on genomes, pathways, diseases and drugs

TL;DR: The content has been expanded and the quality improved irrespective of whether or not the KOs appear in the three molecular network databases, and the newly introduced addendum category of the GENES database is a collection of individual proteins whose functions are experimentally characterized and from which an increasing number of KOs are defined.
Journal ArticleDOI

PubChem Substance and Compound databases

TL;DR: An overview of the PubChem Substance and Compound databases is provided, including data sources and contents, data organization, data submission using PubChem Upload, chemical structure standardization, web-based interfaces for textual and non-textual searches, and programmatic access.
Journal ArticleDOI

MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data

TL;DR: A new generation of a popular open-source data processing toolbox, MZmine 2 is introduced, suitable for processing large batches of data and has been applied to both targeted and non-targeted metabolomic analyses.
Related Papers (5)