Evidence map›Paper›PMID 38877315›Full record

ArticleNature methods2024

The tidyomics ecosystem: enhancing omic data analyses.

William J Hutchison, Timothy J Keyes, tidyomics Consortium, Helena L Crowell, Jacques Serizay, Charlotte Soneson, Eric S Davis, Noriaki Sato, Lambda Moses, Boyd Tarlinton and 22 more

Abstract read
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In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Efficient and Tidy Manipulation of Annotated Matrix Data with plyxp.bioRxiv : the preprint server for biology · 2026
    Article
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  8. Review
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  10. Article
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  14. Review
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4 · The record

Corrections and comments

  • Update of
    The2024
5 · Who and what money

Authors and funding

32 authors.

William J Hutchison *The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.ORCID http://orcid.org/0009-0001-6242-4269
Timothy J Keyes *Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0423-9679
tidyomics Consortium
Helena L CrowellUniversity of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-4801-1767
Jacques SerizayUnité Régulation Spatiale des Génomes, Institut Pasteur, CNRS UMR3525, Paris, France.
Charlotte SonesonFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Eric S DavisBioinformatics and Computational Biology Program, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0003-4051-3217
Noriaki SatoDivision of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7721-9359
Lambda MosesCalifornia Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-7092-9427
Boyd TarlintonQueensland Department of Agriculture and Fisheries, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-4146-7083
Abdullah A NahidDepartment of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, Bangladesh.ORCID http://orcid.org/0000-0002-4390-0768
Miha KosmacAchilles Therapeutics, London, UK.
Quentin ClayssenDNA Script, Le Kremlin-Bicêtre, France.ORCID http://orcid.org/0000-0002-2574-073X
Victor YuanDepartment of Statistics, The University of British Columbia, Vancouver, British Columbia, Canada.
Wancen MuBiostatistics Department, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0002-5061-7581
Ji-Eun ParkBiostatistics Department, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0009-0002-8433-9281
Izabela MamedeDepartment of Biochemistry and Immunology, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID http://orcid.org/0000-0002-0707-5588
Min Hyung RyuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3071-7363
Pierre-Paul AxisaCentre de Recherches en Cancérologie de Toulouse, Université de Toulouse, Inserm, CNRS, Université Toulouse III-Paul Sabatier, Toulouse, France.
Paulina PaizDepartment of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0009-0009-1766-7032
Chi-Lam PoonDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0001-6298-7099
Ming TangImmunitas Therapeutics, Waltham, MA, USA.ORCID http://orcid.org/0000-0002-7739-8913
Raphael GottardoSIB Swiss Institute of Bioinformatics, Basel, Switzerland.ORCID http://orcid.org/0000-0002-3867-0232
Martin MorganRoswell Park Comprehensive Cancer Center, Buffalo, NY, USA.ORCID http://orcid.org/0000-0002-5874-8148
Stuart LeeDepartment of Bioinformatics and Computational Biology, Genentech, South San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-1179-8436
Michael LawrenceDepartment of Bioinformatics and Computational Biology, Genentech, South San Francisco, CA, USA.
Stephanie C HicksDepartment of Biostatistics, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-7858-0231
Garry P NolanDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-8862-9043
Kara L DavisDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-7182-2592
Anthony T PapenfussThe Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia. papenfuss@wehi.edu.au.ORCID http://orcid.org/0000-0002-1102-8506
Michael I LoveBiostatistics Department, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA. michaelisaiahlove@gmail.com.ORCID http://orcid.org/0000-0001-8401-0545
Stefano MangiolaThe Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia. stefano.mangiola@adelaide.edu.au.ORCID http://orcid.org/0000-0001-7474-836X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growth of omic data presents evolving challenges in data manipulation, analysis and integration. Addressing these challenges, Bioconductor provides an extensive community-driven biological data analysis platform. Meanwhile, tidy R programming offers a revolutionary data organization and manipulation standard. Here we present the tidyomics software ecosystem, bridging Bioconductor to the tidy R paradigm. This ecosystem aims to streamline omic analysis, ease learning and encourage cross-disciplinary collaborations. We demonstrate the effectiveness of tidyomics by analyzing 7.5 million peripheral blood mononuclear cells from the Human Cell Atlas, spanning six data frameworks and ten analysis tools.

Indexed as

SoftwareComputational BiologyData AnalysisGenomicsHumansLeukocytes, Mononuclear

Identifiers

What OpenQuestion holds

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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.