Evidence map›Paper›PMID 35902589›Full record

ArticleNature communications2022

TidyMass an object-oriented reproducible analysis framework for LC-MS data.

Xiaotao Shen, Hong Yan, Chuchu Wang, Peng Gao, Caroline H Johnson, Michael P Snyder

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
6.3field-weighted citation impact, top 2% of its field
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

52 citing papers in PubMed, 78 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Xiaotao Shen *Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-9608-9964
Hong Yan *Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.
Chuchu Wang *Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
Peng GaoDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-4311-584X
Caroline H JohnsonDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA. caroline.johnson@yale.edu.ORCID 0000-0002-5298-1299
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA. mpsnyder@stanford.edu.ORCID 0000-0003-0784-7987
Stanford University · USHoward Hughes Medical Institute · USStanford Medicine · USYale New Haven Health System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Microbial Chemical Sensing and Host ResponsesRM1GM141649 · NIGMS · YALE UNIVERSITY · PI Jason Michael Crawford, Caroline Helen Johnson · 2021 to 2026
$9.0M
YALE CANCER CENTER CALABRESI IMMUNO-ONCOLOGY TRAINING PROGRAMK12CA215110 · NCI · YALE UNIVERSITY · PI Harriet M. Kluger · 2018 to 2026
$6.1M
Summer Research Experience in Environmental Health (SREEH)R25ES029052 · NIEHS · YALE UNIVERSITY · PI Caroline Helen Johnson, VASILIS VASILIOU · 2019 to 2026
$771k
Howard Hughes Medical InstituteNCATS NIH HHS UL1 TR001863NCI NIH HHS K12 CA215110NIEHS NIH HHS R25 ES029052NIGMS NIH HHS RM1 GM141649
6 · The paper itself

Abstract

Reproducibility, traceability, and transparency have been long-standing issues for metabolomics data analysis. Multiple tools have been developed, but limitations still exist. Here, we present the tidyMass project ( https://www.tidymass.org/ ), a comprehensive R-based computational framework that can achieve the traceable, shareable, and reproducible workflow needs of data processing and analysis for LC-MS-based untargeted metabolomics. TidyMass is an ecosystem of R packages that share an underlying design philosophy, grammar, and data structure, which provides a comprehensive, reproducible, and object-oriented computational framework. The modular architecture makes tidyMass a highly flexible and extensible tool, which other users can improve and integrate with other tools to customize their own pipeline.

Indexed as

EcosystemSoftwareChromatography, LiquidMetabolomicsReproducibility of ResultsTandem Mass SpectrometryWorkflow

Identifiers

PMID35902589
PMCPMC9334349
OpenAlexW4288077313

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.