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Dataset Information

Evaluation and comparison of bioinformatic tools for the enrichment analysis of metabolomics data.


ABSTRACT:

Background

Bioinformatic tools for the enrichment of 'omics' datasets facilitate interpretation and understanding of data. To date few are suitable for metabolomics datasets. The main objective of this work is to give a critical overview, for the first time, of the performance of these tools. To that aim, datasets from metabolomic repositories were selected and enriched data were created. Both types of data were analysed with these tools and outputs were thoroughly examined.

Results

An exploratory multivariate analysis of the most used tools for the enrichment of metabolite sets, based on a non-metric multidimensional scaling (NMDS) of Jaccard's distances, was performed and mirrored their diversity. Codes (identifiers) of the metabolites of the datasets were searched in diff

SUBMITTER: Marco-Ramell A 

PROVIDER: S-EPMC5749025 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature