Evidence map›Paper›PMID 31440979›Full record

ArticleJournal of the American Society for Mass Spectrometry2019

Perspectives on Data Analysis in Metabolomics: Points of Agreement and Disagreement from the 2018 ASMS Fall Workshop.

Erin S Baker, Gary J Patti

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Trial
  2. Review
  3. Data-Driven Compound Identification in Atmospheric Mass Spectrometry.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
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  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Erin S BakerDepartment of Chemistry, North Carolina State University, Raleigh, NC, USA. ebaker@ncsu.edu.ORCID http://orcid.org/0000-0001-5246-2213
Gary J PattiDepartments of Chemistry and Medicine, Washington University in St. Louis, St. Louis, MO, USA. gjpattij@wustl.edu.

Funding

Developing Metabolomic Technologies to Advance Environmental Exposure AnalysisR35ES028365 · NIEHS · WASHINGTON UNIVERSITY · PI PATTI, GARY J · 2017 to 2024
$5.9M
A COMPREHENSIVE RESOURCE FOR HIGH-THROUGHPUT PROFILING OF WORM AND ZEBRAFISH METABOLOMESR24OD024624 · OD · WASHINGTON UNIVERSITY · PI PATTI, GARY J · 2018 to 2021
$4.0M
A Comprehensive Platform for High-Throughput Profiling of the Human Reference MetabolomeU01CA235482 · NCI · WASHINGTON UNIVERSITY · PI PATTI, GARY J · 2018 to 2021
$1.8M
NCATS NIH HHS L30 TR000589NCI NIH HHS U01 CA235482NIEHS NIH HHS R35 ES028365NIH HHS R24 OD024624
6 · The paper itself

Abstract

In November 2018, the American Society for Mass Spectrometry hosted the Annual Fall Workshop on informatic methods in metabolomics. The Workshop included sixteen lectures presented by twelve invited speakers. The focus of the talks was untargeted metabolomics performed with liquid chromatography/mass spectrometry. In this review, we highlight five recurring topics that were covered by multiple presenters: (i) data sharing, (ii) artifacts and contaminants, (iii) feature degeneracy, (iv) database organization, and (v) requirements for metabolite identification. Our objective here is to present viewpoints that were widely shared among participants, as well as those in which varying opinions were articulated. We note that most of the presenting speakers employed different data processing software, which underscores the diversity of informatic programs currently being used in metabolomics. We conclude with our thoughts on the potential role of reference datasets as a step towards standardizing data processing methods in metabolomics.

Indexed as

Computational BiologyMass SpectrometryMetabolomicsChromatography, LiquidHumansASMS Fall WorkshopInformaticsMetabolismMetabolomics

Identifiers

PMID31440979
PMCPMC7310669

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Registered trials

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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.