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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | W537-W544 |
| Journal | Nucleic Acids Research |
| Volume | 46 |
| Issue number | W1 |
| DOIs | |
| State | Published - Jul 2 2018 |
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ASJC Scopus subject areas
- Genetics
Cite this
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses : 2018 update. / Afgan, Enis; Baker, Dannon; Batut, Bérénice; Van Den Beek, Marius; Bouvier, Dave; Ech, Martin; Chilton, John; Clements, Dave; Coraor, Nate; Grüning, Björn A.; Guerler, Aysam; Hillman-Jackson, Jennifer; Hiltemann, Saskia; Jalili, Vahid; Rasche, Helena; Soranzo, Nicola; Goecks, Jeremy; Taylor, James; Nekrutenko, Anton; Blankenberg, Daniel.
In: Nucleic Acids Research, Vol. 46, No. W1, 02.07.2018, p. W537-W544.Research output: Contribution to journal › Article
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TY - JOUR
T1 - The Galaxy platform for accessible, reproducible and collaborative biomedical analyses
T2 - 2018 update
AU - Afgan, Enis
AU - Baker, Dannon
AU - Batut, Bérénice
AU - Van Den Beek, Marius
AU - Bouvier, Dave
AU - Ech, Martin
AU - Chilton, John
AU - Clements, Dave
AU - Coraor, Nate
AU - Grüning, Björn A.
AU - Guerler, Aysam
AU - Hillman-Jackson, Jennifer
AU - Hiltemann, Saskia
AU - Jalili, Vahid
AU - Rasche, Helena
AU - Soranzo, Nicola
AU - Goecks, Jeremy
AU - Taylor, James
AU - Nekrutenko, Anton
AU - Blankenberg, Daniel
PY - 2018/7/2
Y1 - 2018/7/2
N2 - 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.
AB - 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.
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U2 - 10.1093/nar/gky379
DO - 10.1093/nar/gky379
M3 - Article
VL - 46
SP - W537-W544
JO - Nucleic Acids Research
JF - Nucleic Acids Research
SN - 0305-1048
IS - W1
ER -