Integrated metabolomics data analysis to generate mechanistic hypotheses with MetaProViz

ABSTRACT: The lack of standardized workflows and ambiguous metabolite annotations hampers metabolomics integration with prior knowledge, thus limiting the extraction of meaningful biological insights. We present MetaProViz (Metabolomics Processing, functional analysis and Visualization), an open-source Bioconductor R package for metabolomics data analysis that integrates prior knowledge to generate mechanistic hypotheses (https://saezlab.github.io/MetaProViz/). MetaProViz operates on annotated intensity values and offers a flexible framework consisting of five modules: processing, differential analysis, prior knowledge integration, functional analysis and visualisation, applicable to intracellular and exometabolomics experiments. To improve functional analysis, we created the Metabolism Signature D

SUBMITTER: Christina Schmidt 

PROVIDER: S-SCDT-10_1038-S44320-026-00231-8 | biostudies-other |

REPOSITORIES: biostudies-other