MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation.


Journal

Nucleic acids research
ISSN: 1362-4962
Titre abrégé: Nucleic Acids Res
Pays: England
ID NLM: 0411011

Informations de publication

Date de publication:
08 Apr 2024
Historique:
accepted: 26 03 2024
revised: 14 03 2024
received: 31 01 2024
medline: 8 4 2024
pubmed: 8 4 2024
entrez: 8 4 2024
Statut: aheadofprint

Résumé

We introduce MetaboAnalyst version 6.0 as a unified platform for processing, analyzing, and interpreting data from targeted as well as untargeted metabolomics studies using liquid chromatography - mass spectrometry (LC-MS). The two main objectives in developing version 6.0 are to support tandem MS (MS2) data processing and annotation, as well as to support the analysis of data from exposomics studies and related experiments. Key features of MetaboAnalyst 6.0 include: (i) a significantly enhanced Spectra Processing module with support for MS2 data and the asari algorithm; (ii) a MS2 Peak Annotation module based on comprehensive MS2 reference databases with fragment-level annotation; (iii) a new Statistical Analysis module dedicated for handling complex study design with multiple factors or phenotypic descriptors; (iv) a Causal Analysis module for estimating metabolite - phenotype causal relations based on two-sample Mendelian randomization, and (v) a Dose-Response Analysis module for benchmark dose calculations. In addition, we have also improved MetaboAnalyst's visualization functions, updated its compound database and metabolite sets, and significantly expanded its pathway analysis support to around 130 species. MetaboAnalyst 6.0 is freely available at https://www.metaboanalyst.ca.

Identifiants

pubmed: 38587201
pii: 7642060
doi: 10.1093/nar/gkae253
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NCI NIH HHS
ID : U01 CA235493
Pays : United States
Organisme : CIHR
Pays : Canada
Organisme : Juvenile Diabetes Research Foundation
Pays : United States

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.

Auteurs

Zhiqiang Pang (Z)

Institute of Parasitology, McGill University,Sainte-Anne-de-Bellevue, Quebec, Canada.

Yao Lu (Y)

Department of Microbiology and Immunology, McGill University, Montreal, Quebec, Canada.

Guangyan Zhou (G)

Institute of Parasitology, McGill University,Sainte-Anne-de-Bellevue, Quebec, Canada.

Fiona Hui (F)

Institute of Parasitology, McGill University,Sainte-Anne-de-Bellevue, Quebec, Canada.

Lei Xu (L)

Institute of Parasitology, McGill University,Sainte-Anne-de-Bellevue, Quebec, Canada.

Charles Viau (C)

Institute of Parasitology, McGill University,Sainte-Anne-de-Bellevue, Quebec, Canada.

Aliya F Spigelman (AF)

Department of Pharmacology and Alberta Diabetes Institute, University of Alberta, Edmonton, Alberta, Canada.

Patrick E MacDonald (PE)

Department of Pharmacology and Alberta Diabetes Institute, University of Alberta, Edmonton, Alberta, Canada.

David S Wishart (DS)

Departments of Biological Sciences and Computing Science, University of Alberta, Edmonton, Alberta, Canada.

Shuzhao Li (S)

The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
University of Connecticut School of Medicine, Farmington, CT, USA.

Jianguo Xia (J)

Institute of Parasitology, McGill University,Sainte-Anne-de-Bellevue, Quebec, Canada.
Department of Microbiology and Immunology, McGill University, Montreal, Quebec, Canada.

Classifications MeSH