Galaxy
Galaxy enables reproducible execution, composition, and sharing of bioinformatics analyses for next-generation DNA sequencing and other high-throughput biomedical data.
Key Features:
- Reproducibility and provenance: Automatically records complete analysis provenance, enabling inspection, publication, and reuse of results.
- Workflow and assembly support: Provides workflow execution and assembly workflows used in genome projects such as the Vertebrate Genome Project (VGP).
- Next-generation sequencing and large-scale data support: Supports analysis of next-generation DNA sequencing and other large-scale biomedical datasets.
- Machine learning integration: Includes a comprehensive suite of machine learning tools for data analysis.
- Interactive exploratory analysis: Provides interactive tools for exploratory data analysis and dynamic investigation of datasets.
- Scalable execution: Enables scalable execution of analyses across numerous input files and large datasets.
- Data sharing and collaboration: Facilitates sharing of datasets and analyses to support collaborative research and reproducible results.
Scientific Applications:
- Large-scale biomedical analyses: Supports integrative analyses of high-throughput biomedical data for population- and cohort-scale studies.
- Genome projects: Hosts assembly and analysis workflows applied in projects such as the Vertebrate Genome Project (VGP).
- SARS-CoV-2 and pandemic research: Enabled global collaborative analysis of SARS-CoV-2 datasets and related research efforts.
Methodology:
Galaxy employs a computational framework that records analysis provenance and enables sharing, analysis, and visualization of data via executable workflows, interactive tools, and integrated machine learning tools.
Topics
Collections
Details
- License:
- AFL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- api, web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 1/13/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 2016;44(W1):W3-W10. doi:10.1093/nar/gkw343. PMID:27137889. PMCID:PMC4987906.
Afgan E, Nekrutenko A, Grüning BA, Blankenberg D, Goecks J, Schatz MC, Ostrovsky AE, Mahmoud A, Lonie AJ, Syme A, Fouilloux A, Bretaudeau A, Nekrutenko A, Kumar A, Eschenlauer AC, DeSanto AD, Guerler A, Serrano-Solano B, Batut B, Grüning BA, Langhorst BW, Carr B, Raubenolt BA, Hyde CJ, Bromhead CJ, Barnett CB, Royaux C, Gallardo C, Blankenberg D, Fornika DJ, Baker D, Bouvier D, Clements D, de Lima Morais DA, Tabernero DL, Lariviere D, Nasr E, Afgan E, Zambelli F, Heyl F, Psomopoulos F, Coppens F, Price GR, Cuccuru G, Corguillé GL, Von Kuster G, Akbulut GG, Rasche H, Hotz H, Eguinoa I, Makunin I, Ranawaka IJ, Taylor JP, Joshi J, Hillman-Jackson J, Goecks J, Chilton JM, Kamali K, Suderman K, Poterlowicz K, Yvan LB, Lopez-Delisle L, Sargent L, Bassetti ME, Tangaro MA, van den Beek M, Čech M, Bernt M, Fahrner M, Tekman M, Föll MC, Schatz MC, Crusoe MR, Roncoroni M, Kucher N, Coraor N, Stoler N, Rhodes N, Soranzo N, Pinter N, Goonasekera NA, Moreno PA, Videm P, Melanie P, Mandreoli P, Jagtap PD, Gu Q, Weber RJM, Lazarus R, Vorderman RHP, Hiltemann S, Golitsynskiy S, Garg S, Bray SA, Gladman SL, Leo S, Mehta SP, Griffin TJ, Jalili V, Yves V, Wen V, Nagampalli VK, Bacon WA, de Koning W, Maier W, Briggs PJ. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update. Nucleic Acids Research. 2022;50(W1):W345-W351. doi:10.1093/nar/gkac247. PMID:35446428. PMCID:PMC9252830.
Documentation
Downloads
- Downloads pagehttps://github.com/galaxyproject/galaxy/releases/