Metabology: Analysis of metabolomics data using community ecology tools.
Anal Chim Acta
; 1232: 340469, 2022 Nov 01.
Article
in English
| MEDLINE | ID: covidwho-2060276
ABSTRACT
Several areas such as microbiology, botany, and medicine use genetic information and computational tools to organize, classify and analyze data. However, only recently has it been possible to obtain the chemical ontology of metabolites computationally. The systematic classification of metabolites into classes opens the way for adapting methods that previously used genetic taxonomy to now accept chemical ontology. Community ecology tools are ideal for this adaptation as they have mature methods and enable exploratory data analysis with established statistical tools. This study introduces the Metabology approach, which transforms metabolites into an ecosystem where the metabolites (species) are related by chemical ontology. In the present work, we demonstrate the applicability of this new approach using publicly available data from a metabolomics study of human plasma that searched for prognostic markers of COVID-19, and in an untargeted metabolomics study carried out by our laboratory using Lasiodiplodia theobromae fungal pathogen supernatants.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Ecosystem
/
COVID-19
Type of study:
Prognostic study
/
Systematic review/Meta Analysis
Limits:
Humans
Language:
English
Journal:
Anal Chim Acta
Year:
2022
Document Type:
Article
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