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Ontology-based metabolomics data integration with quality control.


ABSTRACT: Aim: The complications that arise when performing meta-analysis of datasets from multiple metabolomics studies are addressed with computational methods that ensure data quality, completeness of metadata and accurate interpretation across studies. Results & methodology: This paper presents an integrated system of quality control (QC) methods to assess metabolomics results by evaluating the data acquisition strategies and metabolite identification process when integrating datasets for meta-analysis. An ontology knowledge base and a rule-based system representing the experiment and chemical background information direct the processes involved in data integration and QC verification. A diabetes meta-analysis study using these QC methods finds putative biomarkers that differ between cohorts. Conclusion: The methods presented here ensure the validity of meta-analysis when integrating data from different metabolic profiling studies.

SUBMITTER: Buendia P 

PROVIDER: S-EPMC6661928 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Ontology-based metabolomics data integration with quality control.

Buendia Patricia P   Bradley Ray M RM   Taylor Thomas J TJ   Schymanski Emma L EL   Patti Gary J GJ   Kabuka Mansur R MR  

Bioanalysis 20190610 12


<b>Aim:</b> The complications that arise when performing meta-analysis of datasets from multiple metabolomics studies are addressed with computational methods that ensure data quality, completeness of metadata and accurate interpretation across studies. <b>Results & methodology:</b> This paper presents an integrated system of quality control (QC) methods to assess metabolomics results by evaluating the data acquisition strategies and metabolite identification process when integrating datasets fo  ...[more]

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