Dataset Information

Metabolite-Investigator: an integrated user-friendly workflow for metabolomics multi-study analysis.

ABSTRACT:

Motivation

Many diseases have a metabolic background, which is increasingly investigated due to improved measurement techniques allowing high-throughput assessment of metabolic features in several body fluids. Integrating data from multiple cohorts is of high importance to obtain robust and reproducible results. However, considerable variability across studies due to differences in sampling, measurement techniques and study populations needs to be accounted for.

Results

We present Metabolite-Investigator, a scalable analysis workflow for quantitative metabolomics data from multiple studies. Our tool supports all aspects of data pre-processing including data integration, cleaning, transformation, batch analysis as well as multiple analysis methods including uni- and multivariable factor-metabolite associations, network analysis and factor prioritization in one or more cohorts. Moreover, it allows identifying critical interactions between cohorts and factors affecting metabolite levels and inferring a common covariate model, all via a graphical user interface.

Availability and implementation

We constructed Metabolite-Investigator as a free and open web-tool and stand-alone Shiny-app. It is hosted at https://apps.health-atlas.de/metabolite-investigator/, the source code is freely available at https://github.com/cfbeuchel/Metabolite-Investigator.

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Beuchel C

PROVIDER: S-EPMC8352501 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Publications

Metabolite-Investigator: an integrated user-friendly workflow for metabolomics multi-study analysis.

Beuchel Carl C Kirsten Holger H Ceglarek Uta U Scholz Markus M

Bioinformatics (Oxford, England) 20210801 15

<h4>Motivation</h4>Many diseases have a metabolic background, which is increasingly investigated due to improved measurement techniques allowing high-throughput assessment of metabolic features in several body fluids. Integrating data from multiple cohorts is of high importance to obtain robust and reproducible results. However, considerable variability across studies due to differences in sampling, measurement techniques and study populations needs to be accounted for.<h4>Results</h4>We present ...[more]

PMID: 33196775

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Dataset Information

Metabolite-Investigator: an integrated user-friendly workflow for metabolomics multi-study analysis.

Motivation

Results

Availability and implementation

Supplementary information

Publications

Metabolite-Investigator: an integrated user-friendly workflow for metabolomics multi-study analysis.

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