Evidence map›Paper›PMID 32479607›Full record

ArticleNucleic acids research2020

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update.

Vahid Jalili, Enis Afgan, Qiang Gu, Dave Clements, Daniel Blankenberg, Jeremy Goecks, James Taylor, Anton Nekrutenko

Erratum issuedAbstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 307 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
307citing papers in PubMed, 1 pooled it
–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

307 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Deletion of aJOR spine · 2026
    Article
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  17. bioRxiv : the preprint server for biology · 2026
    Article
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  20. Article

247 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Vahid JaliliDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA.
Enis AfganDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Qiang GuDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA.
Dave ClementsDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Daniel BlankenbergGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Jeremy GoecksDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA.
James TaylorDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Anton NekrutenkoDepartment of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA.

Funding

Democratization of Data Analysis in Life Sciences Through GalaxyU41HG006620 · NHGRI · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON, SCHATZ, MICHAEL · 2012 to 2020
$14.4M
A Federated Galaxy for user-friendly large-scale cancer genomics researchU24CA231877 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI GOECKS, JEREMY, SCHATZ, MICHAEL · 2018 to 2022
$3.9M
NCI NIH HHS U24 CA231877NHGRI NIH HHS U41 HG006620
6 · The paper itself

Abstract

Galaxy (https://galaxyproject.org) is a web-based computational workbench used by tens of thousands of scientists across the world to analyze large biomedical datasets. Since 2005, the Galaxy project has fostered a global community focused on achieving accessible, reproducible, and collaborative research. Together, this community develops the Galaxy software framework, integrates analysis tools and visualizations into the framework, runs public servers that make Galaxy available via a web browser, performs and publishes analyses using Galaxy, leads bioinformatics workshops that introduce and use Galaxy, and develops interactive training materials for Galaxy. Over the last two years, all aspects of the Galaxy project have grown: code contributions, tools integrated, users, and training materials. Key advances in Galaxy's user interface include enhancements for analyzing large dataset collections as well as interactive tools for exploratory data analysis. Extensions to Galaxy's framework include support for federated identity and access management and increased ability to distribute analysis jobs to remote resources. New community resources include large public servers in Europe and Australia, an increasing number of regional and local Galaxy communities, and substantial growth in the Galaxy Training Network.

Indexed as

SoftwareBiomedical ResearchData AnalysisDatasets as TopicMetabolomicsMetagenomicsProteomicsReproducibility of ResultsSingle-Cell Analysis

Identifiers

PMID32479607
PMCPMC7319590

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.