Metabolomics in Systems Biology

 

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. Systems biology-enhanced analysis of data can provide insights into the molecular mechanisms that originated the observed metabolic profiles, enhancing the impact of metabolomics studies. In this webinar we provide an overview of system biology approaches, such as network analysis, metabolic modelling, and to discuss how these methods have been successfully deployed in metabolomics studies. Some methods are available via the PhenoMeNal e-infrastructure, such as fluxomics analysis via the Iso2Flux tool.

This webinar was inspired by this publication:

Rosato A, Tenori L, Cascante M, De Atauri Carulla PR, Martins Dos Santos VAP, Saccenti E. From correlation to causation: analysis of metabolomics data using systems biology approaches. Metabolomics. 2018;14(4):37. doi: 10.1007/s11306-018-1335-y

PhenoMeNal is a comprehensive and standardised e-infrastructure that supports data processing and analysis workflows for data generated by metabolomics studies. The project is funded by European Commission's H2020 programme (Grant agreement number: 654241).

This webinar was recorded on 17 July 2018. It is best viewed in full screen mode using Google Chrome. The slides from this webinar can be downloaded below.

See the EMBL-EBI training pages for a list of upcoming webinars.

This webinar is aimed at individuals who wish to learn more about the analysing metabolomics data. No prior knowledge of bioinformatics is required, but an understanding of metabolomics would be useful.[/no-lexicon]

 

 

About this course

Author(s): 
Antonio Rosato
Learning objectives: 
  • Describe how the principles of systems biology can be applied to metabolomics
Attachments: 
File webinarROSATO.pptx
Rating: 
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