ReviewCurrent opinion in biotechnology2018
Integrating bioinformatics approaches for a comprehensive interpretation of metabolomics datasets.
Review in Current opinion in biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed.
- High-Quality Predicted Metabolite-Pathway Annotations Expand Pathway Coverage and Increase Enriched Pathway Detection Across Metabolomics Datasets.Metabolites · 2026Article
- High-Quality Predicted Pathway Annotations Greatly Improve Pathway Enrichment Analysis of Metabolomics Datasets.bioRxiv : the preprint server for biology · 2025Article
- Hypershape Recognition: A General Framework for Moment-Based Molecular Similarity.Journal of chemical information and modeling · 2025Article
- Study of acute lethality, teratogenesis, and metabolomic changes of N-(2'-hydroxyphenyl)-2-propylpentanamide (HO-AAVPA) on Artemia franciscana.Scientific reports · 2025Article
- Leveraging artificial intelligence for early detection and prediction of acute kidney injury in clinical practice.Frontiers in physiology · 2025Article
- Computational methods for processing and interpreting mass spectrometry-based metabolomics.Essays in biochemistry · 2024Review
- IDSL.GOA: gene ontology analysis for interpreting metabolomic datasets.Scientific reports · 2024Article
- Integrative proteome and metabolome analyses reveal molecular basis of the tail resorption during the metamorphic climax ofFrontiers in cell and developmental biology · 2024Article
- Inferring the Nominal Molecular Mass of an Analyte from Its Electron Ionization Mass Spectrum.Analytical chemistry · 2023Article
- Association of Metabolomic Biomarkers with Sleeve Gastrectomy Weight Loss Outcomes.Metabolites · 2023Article
- Urine Metabolomics Exposes Anomalous Recovery after Maximal Exertion in Female ME/CFS Patients.International journal of molecular sciences · 2023Article
- Filling gaps in animal welfare assessment through metabolomics.Frontiers in veterinary science · 2023Review
- Integrated Metabolomics and Morpho-Biochemical Analyses Reveal a Better Performance ofInternational journal of molecular sciences · 2022Article
- Bile Acids: Physiological Activity and Perspectives of Using in Clinical and Laboratory Diagnostics.Molecules (Basel, Switzerland) · 2022Review
- Survey for Computer-Aided Tools and Databases in Metabolomics.Metabolites · 2022Review
- CCDB: A database for exploring inter-chemical correlations in metabolomics and exposomics datasets.Environment international · 2022Article
- Automated Recommendation of Research Keywords from PubMed That Suggest the Molecular Mechanism Associated with Biomarker Metabolites.Metabolites · 2022Article
- Study on plasma metabolomics for HIV/AIDS patients treated by HAART based on LC/MS-MS.Frontiers in pharmacology · 2022Article
- Metabolite Ratios as Quality Indicators for Pre-Analytical Variation in Serum and EDTA Plasma.Metabolites · 2021Article
- Omics-Facilitated Crop Improvement for Climate Resilience and Superior Nutritive Value.Frontiers in plant science · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Access to high quality metabolomics data has become a routine component for biological studies. However, interpreting those datasets in biological contexts remains a challenge, especially because many identified metabolites are not found in biochemical pathway databases. Starting from statistical analyses, a range of new tools are available, including metabolite set enrichment analysis, pathway and network visualization, pathway prediction, biochemical databases and text mining. Integrating these approaches into comprehensive and unbiased interpretations must carefully consider both caveats of the metabolomics dataset itself as well as the structure and properties of the biological study design. Special considerations need to be taken when adopting approaches from genomics for use in metabolomics. R and Python programming language are enabling an easier exchange of diverse tools to deploy integrated workflows. This review summarizes the key ideas and latest developments in regards to these approaches.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.