ReviewCurrent opinion in chemical biology2017
Global open data management in metabolomics.
Review in Current opinion in chemical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review on Metabolomics Analysis in Hearing Impairment: Is It a Possible Tool in Understanding Auditory Pathologies?International journal of molecular sciences · 2023Pooled it
- A Reporting Guideline for Observational Studies in Metabolomic Epidemiology: Explanation and Elaboration of the Strobe-MetEpi Checklist.Research square · 2026Article
- Comparability of Liquid Chromatography Tandem Mass Spectrometry Analysis of Dissolved Organic Matter across Laboratories.Environmental science & technology · 2026Article
- A Major Update and Improved Validation Functionality in the mwtab Python Library and the Metabolomics Workbench File Status Website.Metabolites · 2026Article
- Securing the Future of NMR Metabolomics Reproducibility: A Call for Standardized Reporting.Analytical chemistry · 2025Review
- Introducing Korea metabolomics data repository (KMAP): bridging Korean metabolomics data to global data sharing infrastructure.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Review
- A comprehensive overview of microbiome data in the light of machine learning applications: categorization, accessibility, and future directions.Frontiers in microbiology · 2024Review
- Animal Metabolite Database: Metabolite Concentrations in Animal Tissues and Convenient Comparison of Quantitative Metabolomic Data.Metabolites · 2023Article
- The metabolomics workbench file status website: a metadata repository promoting FAIR principles of metabolomics data.BMC bioinformatics · 2023Article
- A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics.Metabolites · 2022Review
- PeakForest: a multi-platform digital infrastructure for interoperable metabolite spectral data and metadata management.Metabolomics : Official journal of the Metabolomic Society · 2022Article
- Multi-Omics Strategies for Investigating the Microbiome in Toxicology Research.Toxicological sciences : an official journal of the Society of Toxicology · 2022Review
- Metabolomics and lipidomics in Caenorhabditis elegans using a single-sample preparation.Disease models & mechanisms · 2021Article
- MassBase: A large-scaled depository of mass spectrometry datasets for metabolome analysis.Plant biotechnology (Tokyo, Japan) · 2021Article
- Cloud-based archived metabolomics data: A resource for in-source fragmentation/annotation, meta-analysis and systems biology.Analytical science advances · 2020Article
- Mass Spectrometry Data Repository Enhances Novel Metabolite Discoveries with Advances in Computational Metabolomics.Metabolites · 2019Article
- Cheminformatics approach to exploring and modeling trait-associated metabolite profiles.Journal of cheminformatics · 2019Article
- Staring into the void: demystifying microbial metabolomics.FEMS microbiology letters · 2019Article
- PhenoMeNal: processing and analysis of metabolomics data in the cloud.GigaScience · 2019Article
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
Chemical Biology employs chemical synthesis, analytical chemistry and other tools to study biological systems. Recent advances in both molecular biology such as next generation sequencing (NGS) have led to unprecedented insights towards the evolution of organisms' biochemical repertoires. Because of the specific data sharing culture in Genomics, genomes from all kingdoms of life become readily available for further analysis by other researchers. While the genome expresses the potential of an organism to adapt to external influences, the Metabolome presents a molecular phenotype that allows us to asses the external influences under which an organism exists and develops in a dynamic way. Steady advancements in instrumentation towards high-throughput and highresolution methods have led to a revival of analytical chemistry methods for the measurement and analysis of the metabolome of organisms. This steady growth of metabolomics as a field is leading to a similar accumulation of big data across laboratories worldwide as can be observed in all of the other omics areas. This calls for the development of methods and technologies for handling and dealing with such large datasets, for efficiently distributing them and for enabling re-analysis. Here we describe the recently emerging ecosystem of global open-access databases and data exchange efforts between them, as well as the foundations and obstacles that enable or prevent the data sharing and reanalysis of this data.
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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.