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Cited by 1,264

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The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update

Open access
The Galaxy Community, Afgan, Enis, Nekrutenko, Anton, Grüning, Bjórn A, Blankenberg, Daniel, Goecks, Jeremy, Schatz, Michael C, Ostrovsky, Alexander E, Mahmoud, Alexandru, Lonie, Andrew J, Syme, Anna, Fouilloux, Anne, Bretaudeau, Anthony, Nekrutenko, Anton, Kumar, Anup, Eschenlauer, Arthur C, DeSanto, Assunta D, Guerler, Aysam, Serrano-Solano, Beatriz, Batut, Bérénice, Grüning, Björn A, Langhorst, Bradley W, Carr, Bridget, Raubenolt, Bryan A, Hyde, Cameron J, Bromhead, Catherine J, Barnett, Christopher B, Royaux, Coline, Gallardo, Cristóbal, Blankenberg, Daniel, Fornika, Daniel J, Baker, Dannon, Bouvier, Dave, Clements, Dave, de Lima Morais, David A, Tabernero, David Lopez, Lariviere, Delphine, Nasr, Engy, Afgan, Enis, Zambelli, Federico, Heyl, Florian, Psomopoulos, Fotis, Coppens, Frederik, Price, Gareth R, Cuccuru, Gianmauro, Corguillé, Gildas Le, Von Kuster, Greg, Akbulut, Gulsum Gudukbay, Rasche, Helena, Hotz, Hans-Rudolf, Eguinoa, Ignacio, Makunin, Igor, Ranawaka, Isuru J, Taylor, James P, Joshi, Jayadev, Hillman-Jackson, Jennifer, Goecks, Jeremy, Chilton, John M, Kamali, Kaivan, Suderman, Keith, Poterlowicz, Krzysztof, Yvan, Le Bras, Lopez-Delisle, Lucille, Sargent, Luke, Bassetti, Madeline E, Tangaro, Marco Antonio, van den Beek, Marius, Čech, Martin, Bernt, Matthias, Fahrner, Matthias, Tekman, Mehmet, Föll, Melanie C, Schatz, Michael C, Crusoe, Michael R, Roncoroni, Miguel, Kucher, Natalie, Coraor, Nate, Stoler, Nicholas, Rhodes, Nick, Soranzo, Nicola, Pinter, Niko, Goonasekera, Nuwan A, Moreno, Pablo A, Videm, Pavankumar, Melanie, Petera, Mandreoli, Pietro, Jagtap, Pratik D, Gu, Qiang, Weber, Ralf J M, Lazarus, Ross, Vorderman, Ruben H P, Hiltemann, Saskia, Golitsynskiy, Sergey, Garg, Shilpa, Bray, Simon A, Gladman, Simon L, Leo, Simone, Mehta, Subina P, Griffin, Timothy J, Jalili, Vahid, Yves, Vandenbrouck, Wen, Victor, Nagampalli, Vijay K, Bacon, Wendi A, de Koning, Willem, Maier, Wolfgang, Briggs, Peter J·2022·Nucleic Acids Research

Abstract

Galaxy is a mature, browser accessible workbench for scientific computing. It enables scientists to share, analyze and visualize their own data, with minimal technical impediments. A thriving global community continues to use, maintain and contribute to the project, with support from multiple national infrastructure providers that enable freely accessible analysis and training services. The Galaxy Training Network supports free, self-directed, virtual training with >230 integrated tutorials. Project engagement metrics have continued to grow over the last 2 years, including source code contributions, publications, software packages wrapped as tools, registered users and their daily analysis jobs, and new independent specialized servers. Key Galaxy technical developments include an improved user interface for launching large-scale analyses with many files, interactive tools for exploratory data analysis, and a complete suite of machine learning tools. Important scientific developments enabled by Galaxy include Vertebrate Genome Project (VGP) assembly workflows and global SARS-CoV-2 collaborations.

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Show all 5 references

Research works printed but not linked: 16

  1. Jalili, 2020, The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update, Nucleic Acids Res., 48, W395, 10.1093/nar/gkaa434 · DOI · Paper page
  2. Schatz, 2022, Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space, Cell Genomics, 2, 100085, 10.1016/j.xgen.2021.100085 · DOI
  3. Batut, 2018, Community-Driven Data Analysis Training for Biology, cels, 6, 752
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  6. Rasche, 2020, Training infrastructure as a service, 10.1101/2020.08.23.263509 · doi:10.1101/2020.08.23.263509
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  9. O’Connor, 2017, The Dockstore: enabling modular, community-focused sharing of Docker-based genomics tools and workflows, F1000Res, 6, 52, 10.12688/f1000research.10137.1 · DOI
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Metadata

Authors
Community, T. G., Afgan, E., Nekrutenko, A., Grüning, B. A., Blankenberg, D., Goecks, J., Schatz, M. C., Ostrovsky, A. E., Mahmoud, A., Lonie, A. J., Syme, A., Fouilloux, A., Bretaudeau, A., Nekrutenko, A., Kumar, A., Eschenlauer, A. C., DeSanto, A. D., Guerler, A., Serrano-Solano, B., Batut, B., Grüning, B. A., Langhorst, B. W., Carr, B., Raubenolt, B. A., Hyde, C. J., Bromhead, C. J., Barnett, C. B., Royaux, C., Gallardo, C., Blankenberg, D., Fornika, D. J., Baker, D., Bouvier, D., Clements, D., de Lima Morais, D. A., Tabernero, D. L., Lariviere, D., Nasr, E., Afgan, E., Zambelli, F., Heyl, F., Psomopoulos, F., Coppens, F., Price, G. R., Cuccuru, G., Corguillé, G. L., Von Kuster, G., Akbulut, G. G., Rasche, H., Hotz, H.-R., Eguinoa, I., Makunin, I., Ranawaka, I. J., Taylor, J. P., Joshi, J., Hillman-Jackson, J., Goecks, J., Chilton, J. M., Kamali, K., Suderman, K., Poterlowicz, K., Yvan, L. B., Lopez-Delisle, L., Sargent, L., Bassetti, M. E., Tangaro, M. A., van den Beek, M., Čech, M., Bernt, M., Fahrner, M., Tekman, M., Föll, M. C., Schatz, M. C., Crusoe, M. R., Roncoroni, M., Kucher, N., Coraor, N., Stoler, N., Rhodes, N., Soranzo, N., Pinter, N., Goonasekera, N. A., Moreno, P. A., Videm, P., Melanie, P., Mandreoli, P., Jagtap, P. D., Gu, Q., Weber, R. J. M., Lazarus, R., Vorderman, R. H. P., Hiltemann, S., Golitsynskiy, S., Garg, S., Bray, S. A., Gladman, S. L., Leo, S., Mehta, S. P., Griffin, T. J., Jalili, V., Yves, V., Wen, V., Nagampalli, V. K., Bacon, W. A., de Koning, W., Maier, W., & Briggs, P. J.
Venue
Nucleic Acids Research
Published
2022-04-21
Volume
50
Issue
W1
Pages
W345-W351
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W4226051960
Cited by
1,264
References
5
FWCI
219.66
Type
journal article
Language
en
Open access
gold
Funders
  • NIH (2U24HG006620, 3R01AI134384, 5U24HG010263, 5U24CA231877)
  • NSF (1445604, 1840003)
  • Chan-Zuckerberg Initiative for Essential Open-Source Software for Science Program
  • ELIXIR Implementation Studies

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CoChat. (2026). Citation check: The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update. https://app.cochat.ai/papers/10.1093/nar/gkac247
The paper
Community, T. G., Afgan, E., Nekrutenko, A., Grüning, B. A., Blankenberg, D., Goecks, J., Schatz, M. C., Ostrovsky, A. E., Mahmoud, A., Lonie, A. J., Syme, A., Fouilloux, A., Bretaudeau, A., Nekrutenko, A., Kumar, A., Eschenlauer, A. C., DeSanto, A. D., Guerler, A., Serrano-Solano, B., . . . Briggs, P. J. (2022). The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update. Nucleic Acids Research. https://doi.org/10.1093/nar/gkac247

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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