Evidence map›Paper›PMID 29790989›Full record

ArticleNucleic acids research2018

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update.

Enis Afgan, Dannon Baker, Bérénice Batut, Marius van den Beek, Dave Bouvier, Martin Cech, John Chilton, Dave Clements, Nate Coraor, Björn A Grüning and 10 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2,123 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2,123citing papers in PubMed, 2 pooled it
956.3field-weighted citation impact, top 1% 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

2,123 citing papers in PubMed, 2 syntheses or guidelines pooled it, 3,859 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
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2,063 more citing papers are in PubMed but not listed here.

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

20 authors at 8 institutions in 5 countries.

Enis AfganDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Dannon BakerDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Bérénice BatutDepartment of Computer Science, Albert-Ludwigs-University, Freiburg, Freiburg, Germany.
Marius van den BeekInstitut Curie, PSL Research University, Paris, France.
Dave BouvierDepartment of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA.
Martin CechDepartment of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA.
John ChiltonDepartment of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA.
Dave ClementsDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Nate CoraorDepartment of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA.
Björn A GrüningDepartment of Computer Science, Albert-Ludwigs-University, Freiburg, Freiburg, Germany.
Aysam GuerlerDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Jennifer Hillman-JacksonDepartment of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA.
Saskia HiltemannDepartment of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands.
Vahid JaliliDepartment of Biomedical Engineering, Oregon Health and Science University, OR, USA.
Helena RascheDepartment of Computer Science, Albert-Ludwigs-University, Freiburg, Freiburg, Germany.
Nicola SoranzoEarlham Institute, Norwich Research Park, Norwich, UK.
Jeremy GoecksDepartment of Biomedical Engineering, Oregon Health and Science University, 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.
Daniel BlankenbergGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Pennsylvania State University · USJohns Hopkins University · USUniversity of Freiburg · DEOregon Health & Science University · USCleveland Clinic Lerner College of Medicine · USErasmus MC · NLNorwich Research Park · GBUniversité Paris Sciences et Lettres · FR

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
Turning big data analysis infrastructure for HIV researchR01AI134384 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON, POND, SERGEI L KOSAKOVSKY · 2017 to 2021
$4.2M
Dynamically scalable accessible analysis for next generation sequence dataRC2HG005542 · NHGRI · EMORY UNIVERSITY · PI NEKRUTENKO, ANTON, TAYLOR, JAMES PETER · 2009 to 2010
$1.5M
NHGRI NIH HHS RC2 HG005542NHGRI NIH HHS U41 HG006620NIAID NIH HHS R01 AI134384
6 · The paper itself

Abstract

Galaxy (homepage: https://galaxyproject.org, main public server: https://usegalaxy.org) is a web-based scientific analysis platform used by tens of thousands of scientists across the world to analyze large biomedical datasets such as those found in genomics, proteomics, metabolomics and imaging. Started in 2005, Galaxy continues to focus on three key challenges of data-driven biomedical science: making analyses accessible to all researchers, ensuring analyses are completely reproducible, and making it simple to communicate analyses so that they can be reused and extended. During the last two years, the Galaxy team and the open-source community around Galaxy have made substantial improvements to Galaxy's core framework, user interface, tools, and training materials. Framework and user interface improvements now enable Galaxy to be used for analyzing tens of thousands of datasets, and >5500 tools are now available from the Galaxy ToolShed. The Galaxy community has led an effort to create numerous high-quality tutorials focused on common types of genomic analyses. The Galaxy developer and user communities continue to grow and be integral to Galaxy's development. The number of Galaxy public servers, developers contributing to the Galaxy framework and its tools, and users of the main Galaxy server have all increased substantially.

Indexed as

User-Computer InterfaceDatasets as TopicGenomicsHumansInformation DisseminationInternational CooperationInternetMetabolomicsMolecular ImagingProteomicsReproducibility of Results

Identifiers

PMID29790989
PMCPMC6030816
OpenAlexW2917207851

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.