Guide to Metabolomics Analysis: A Bioinformatics Workflow

Metabolomics is an emerging field that quantifies numerous metabolites systematically. The key purpose of metabolomics is to identify the metabolites corresponding to each biological phenotype, and then provide an analysis of the mechanisms involved. Although metabolomics is important to understand...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Metabolites Ročník 12; číslo 4; s. 357
Hlavní autoři: Chen, Yang, Li, En-Min, Xu, Li-Yan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 15.04.2022
MDPI
Témata:
Alzheimer's disease
Amino acids
Bioinformatics
Biomarkers
Cancer
Chromatography
Data processing
Diabetes
Fatty acids
Identification
Integration
Lipids
Mass spectrometry
Metabolic pathways
metabolic pathways summary
Metabolism
Metabolites
Metabolomics
metabolomics analysis tools
multi-omics integration algorithms
NMR
Nuclear magnetic resonance
Phenotypes
Polyamines
Proteomics
Researchers
Review
Scientific imaging
Software
Transcriptomics
metabolic pathways summary
multi-omics integration algorithms
metabolomics analysis tools
metabolomics
ISSN:2218-1989, 2218-1989
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Metabolomics is an emerging field that quantifies numerous metabolites systematically. The key purpose of metabolomics is to identify the metabolites corresponding to each biological phenotype, and then provide an analysis of the mechanisms involved. Although metabolomics is important to understand the involved biological phenomena, the approach’s ability to obtain an exhaustive description of the processes is limited. Thus, an analysis-integrated metabolomics, transcriptomics, proteomics, and other omics approach is recommended. Such integration of different omics data requires specialized statistical and bioinformatics software. This review focuses on the steps involved in metabolomics research and summarizes several main tools for metabolomics analyses. We also outline the most abnormal metabolic pathways in several cancers and diseases, and discuss the importance of multi-omics integration algorithms. Overall, our goal is to summarize the current metabolomics analysis workflow and its main analysis software to provide useful insights for researchers to establish a preferable pipeline of metabolomics or multi-omics analysis.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
ISSN:2218-1989
2218-1989
DOI:10.3390/metabo12040357