Cited by 152Metabolomics and Mass Spectrometry StudiesResearch Data Management PracticesAdvanced Proteomics Techniques and Applications

ReDU: a framework to find and reanalyze public mass spectrometry data

Open access
Jarmusch, Alan K., Wang, Mingxun, Aceves, Christine M., Advani, Rohit S., Aguirre, Shaden, Aksenov, Alexander A., Aleti, Gajender, Aron, Allegra T. +36 more·2020·Nature Methods

Published version of a preprint

Abstract

We present ReDU ( https://redu.ucsd.edu/ ), a system for metadata capture of public mass spectrometry-based metabolomics data, with validated controlled vocabularies. Systematic capture of knowledge enables the reanalysis of public data and/or co-analysis of one's own data. ReDU enables multiple types of analyses, including finding chemicals and associated metadata, comparing the shared and different chemicals between groups of samples, and metadata-filtered, repository-scale molecular networking.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41592-020-0916-7

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The ReDU ecosystem provides consistent and comprehensive metadata and crowdsources over 71 K experimental samples.

    “The key experimental context is provided by consistent and comprehensive metadata provided by the Reanalysis of Data User (ReDU)156 ecosystem that utilizes controlled vocabularies to crowdsource over 71 K experimental samples.”

    From Connecting metabolome and phenotype: recent advances in functional metabolomics tools for the identification of bioactive natural products (2024) · cites this paper as [156]

    The Abstract says ReDU uses consistent, validated metadata created by users through a template with controlled vocabularies. It reports 38,305 ReDU-compatible files, not over 71,000 experimental samples; the claimed sample count is not supported by this copy. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 23 · Cited by 152

Authors
Jarmusch, A. K., Wang, M., Aceves, C. M., Advani, R. S., Aguirre, S., Aksenov, A. A., Aleti, G., Aron, A. T., Bauermeister, A., Bolleddu, S., Bouslimani, A., Caraballo Rodriguez, A. M., Chaar, R., Coras, R., Elijah, E. O., Ernst, M., Gauglitz, J. M., Gentry, E. C., Husband, M., Jarmusch, S. A., Jones, K. L., Kamenik, Z., Le Gouellec, A., Lu, A., McCall, L.-I., McPhail, K. L., Meehan, M. J., Melnik, A. V., Menezes, R. C., Montoya Giraldo, Y. A., Nguyen, N. H., Nothias, L. F., Nothias-Esposito, M., Panitchpakdi, M., Petras, D., Quinn, R. A., Sikora, N., van der Hooft, J. J. J., Vargas, F., Vrbanac, A., Weldon, K. C., Knight, R., Bandeira, N., & Dorrestein, P. C.
Affiliations
  • University of California San Diego (US)
  • Universidade de São Paulo (BR)
  • Statens Serum Institut (DK)
  • University of Aberdeen (GB)
  • University of Oklahoma (US)
  • Oregon State University (US)
  • Max Planck Institute for Chemical Ecology (DE)
  • Scripps Institution of Oceanography (US)
  • Michigan State University (US)
Corresponding author
Dorrestein, Pieter C.
Venue
Nature Methods
Published
2020-08-17
Volume
17
Issue
9
Pages
901-904
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W3049190563
Cited by
152
References
23
Citations by year
2026: 19 · 2025: 24 · 2024: 20 · 2023: 27 · 2022: 19 · 2021: 28 · 2020: 11 · 2019: 4
FWCI
6.89
Type
journal article
Language
en
Open access
Locations
  • Nature Methods (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Socio-Environmental Systems Modeling (acceptedVersion)
  • HAL (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
  • El Repositorio Institucional de la Universidad EAFIT (Universidad EAFIT) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Funders
  • National Science Foundation (IOS-1656481)
  • U.S. Department of Health & Human Services | National Institutes of Health (CA211211, GM107550)
  • United States Department of Defense | United States Navy | Office of Naval Research (N00014-15-1-2809)
  • University of California, San Diego Center for Microbiome Innovation SEED grant
  • American Society for Mass Spectrometry
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
Keywords
metabolomics, metadata capture, controlled vocabulary, molecular networking, compound identification, data repositories, metadata filtering
MeSH terms
Metadata, Models, Chemical, Software, Mass Spectrometry, Metabolomics, Databases, Chemical

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review