A Checklist for Reproducible Computational Analysis in Clinical Metabolomics Research.

ABSTRACT: Clinical metabolomics emerged as a novel approach for biomarker discovery with the translational potential to guide next-generation therapeutics and precision health interventions. However, reproducibility in clinical research employing metabolomics data is challenging. Checklists are a helpful tool for promoting reproducible research. Existing checklists that promote reproducible metabolomics research primarily focused on metadata and may not be sufficient to ensure reproducible metabolomics data processing. This paper provides a checklist including actions that need to be taken by researchers to make computational steps reproducible for clinical metabolomics studies. We developed an eight-item checklist that includes criteria related to reusable data sharing and reproducible computationa

SUBMITTER: Du X 

PROVIDER: S-EPMC8779534 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature