[HTML][HTML] From correlation to causation: analysis of metabolomics data using systems biology approaches
Metabolomics, 2018•Springer
Introduction Metabolomics is a well-established tool in systems biology, especially in the top–
down approach. Metabolomics experiments often results in discovery studies that provide
intriguing biological hypotheses but rarely offer mechanistic explanation of such findings. In
this light, the interpretation of metabolomics data can be boosted by deploying systems
biology approaches. Objectives This review aims to provide an overview of systems biology
approaches that are relevant to metabolomics and to discuss some successful applications …
down approach. Metabolomics experiments often results in discovery studies that provide
intriguing biological hypotheses but rarely offer mechanistic explanation of such findings. In
this light, the interpretation of metabolomics data can be boosted by deploying systems
biology approaches. Objectives This review aims to provide an overview of systems biology
approaches that are relevant to metabolomics and to discuss some successful applications …
Introduction
Metabolomics is a well-established tool in systems biology, especially in the top–down approach. Metabolomics experiments often results in discovery studies that provide intriguing biological hypotheses but rarely offer mechanistic explanation of such findings. In this light, the interpretation of metabolomics data can be boosted by deploying systems biology approaches.
Objectives
This review aims to provide an overview of systems biology approaches that are relevant to metabolomics and to discuss some successful applications of these methods.
Methods
We review the most recent applications of systems biology tools in the field of metabolomics, such as network inference and analysis, metabolic modelling and pathways analysis.
Results
We offer an ample overview of systems biology tools that can be applied to address metabolomics problems. The characteristics and application results of these tools are discussed also in a comparative manner.
Conclusions
Systems biology-enhanced analysis of metabolomics data can provide insights into the molecular mechanisms originating the observed metabolic profiles and enhance the scientific impact of metabolomics studies.
Springer