In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
36 authors.
Engy NasrBioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, D-79110 Freiburg, Germany.ORCID 0000-0001-9047-4215 Nikos PechlivanisInstitute of Applied Biosciences, Centre for Research and Technology Hellas, Thermi, 57001, Thessaloniki, Greece.ORCID 0000-0003-2502-612X Nikolaos StrepisDepartment of Pathology and Clinical Bioinformatics, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, Netherlands.ORCID 0000-0002-0997-8430 Pierre AmatoUniversité Clermont Auvergne, CNRS, Laboratoire Microorganismes: Génomes et Environnement (LMGE), F-63000, Clermont-Ferrand, France.ORCID 0000-0003-3168-0398 Matthias BerntDepartment of Computational Biology and Chemistry, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, Leipzig, D-04318, Germany.ORCID 0000-0003-3763-0797 Anshu BhardwajBioinformatics Centre, CSIR-Institute of Microbial Technology (IMTECH), Sector 39A, Chandigarh, 160036, India.ORCID 0000-0001-5830-2616 Daniel BlankenbergCenter for Computational Life Sciences, Cleveland Clinic Research, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0002-6833-9049 Fabio CumboCenter for Computational Life Sciences, Cleveland Clinic Research, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0003-2920-5838 Emanuele FerrariNational Research Council of Italy - Water Research Institute (CNR-IRSA) Molecular Ecology Group (MEG), Verbania, Italy.ORCID 0000-0002-3154-6714 Björn GrüningBioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, D-79110 Freiburg, Germany.ORCID 0000-0002-3079-6586 Kimberly L MétrisDepartment of Genetics and Biochemistry, Clemson University, Clemson, South Carolina 29634, USA.ORCID 0000-0002-8336-5827 Saim MominBioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, D-79110 Freiburg, Germany.ORCID 0009-0003-9935-828X Tiffanie M NelsonAustralian BioCommons, The University of Melbourne, Melbourne, Victoria, 3010, Australia.ORCID 0000-0002-5341-312X Raphaëlle PéguilhanDepartment of Chemical and Biochemical Engineering, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark.ORCID 0000-0002-7206-0120 Gareth R PriceAustralian BioCommons, The University of Melbourne, Melbourne, Victoria, 3010, Australia.ORCID 0000-0003-2439-8650 Fotis PsomopoulosInstitute of Applied Biosciences, Centre for Research and Technology Hellas, Thermi, 57001, Thessaloniki, Greece.ORCID 0000-0002-0222-4273 Nedeljka RosicFaculty of Health, Southern Cross University, Gold Coast, Queensland, 4225, Australia.ORCID 0000-0002-2598-7046 Michael C SchatzDepartment of Computer Science, Johns Hopkins University, Baltimore, Maryland 21218, USA.ORCID 0000-0002-4118-4446 Valerie Claudia SchimlThe Protein Engineering and Proteomics Group (PEP), Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Christian Magnus Falsens vei 18, 1433 Ås, Norway.ORCID 0009-0008-3674-3929 Cléa SiguretIFB-core, Institut Français de Bioinformatique (IFB), CNRS, INSERM, INRAE, CEA, 94800 Villejuif, France.ORCID 0009-0005-6140-0379 Andrew StubbsDepartment of Pathology and Clinical Bioinformatics, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, Netherlands.ORCID 0000-0001-9817-9982 Peter van HeusdenSouth African National Bioinformatics Institute, University of the Western Cape, South Africa.ORCID 0000-0001-6553-5274 Mustafa VohraDepartment of Medical Laboratory Science, Lovely Professional University, Punjab 144411, India.ORCID 0000-0002-5473-5219 microGalaxy Community
Paul ZierepBioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, D-79110 Freiburg, Germany.ORCID 0000-0003-2982-388X Bérénice BatutIFB-core, Institut Français de Bioinformatique (IFB), CNRS, INSERM, INRAE, CEA, 94800 Villejuif, France.ORCID 0000-0001-9852-1987 Funding
Democratization of Data Analysis in Life Sciences Through GalaxyU41HG006620 · NHGRI · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON, SCHATZ, MICHAEL · 2012 to 2020
$14.4MAn in integrated platform for multiomic analyses of pathogen and host data using scalable public infrastructureU24AI183870 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI Kelsey M Beavers, Maximilian Haeussler · 2024 to 2026
$10.2MNHGRI NIH HHS U41 HG006620NIAID NIH HHS U24 AI183870
6 · The paper itselfAbstract
The explosion of microbial omics data has outpaced the ability of many researchers to analyze it, with complex tools and limited computational resources creating barriers to discovery. To address this gap, we present the Microbiology Galaxy Lab: a free, globally accessible, community-supported platform that combines state-of-the-art analytical power with user-friendly accessibility. Supported by the Galaxy and global microbiology communities, this platform integrates over 315 tool suites and 115 curated workflows, enabling comprehensive metabarcoding, (meta)genomic, (meta)transcriptomic, and (meta)proteomic data analysis within a FAIR-aligned environment. It also supports research in the health and infectious disease sectors, as well as in environmental microbiology. The platform's utility is exemplified through various use cases, including antimicrobial resistance tracking, biomarker prediction, microbiome classification, and functional annotation of key microbes. Built on reproducibility and community engagement, it supports creation, sharing, and updating of best-practice workflows. Over 35 tutorials and learning paths empower scientists, fostering an ecosystem that keeps resources at the forefront of microbial science. The Microbiology Galaxy Lab enables collective analysis, democratising research, thereby accelerating discovery across the global microbiology community (microbiology.usegalaxy.org, .eu, .org.au, .fr).
Identifiers
PMID39764050
PMCPMC11703195
What Socratic holds
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LicenceCC BY
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