Difference between revisions of "Galaxy"
From Bioinformatics Core Wiki
(Created page with "Galaxy Introduction File:Example.jpg") |
(→CRG local implementation) |
||
| (5 intermediate revisions by 3 users not shown) | |||
| Line 1: | Line 1: | ||
| − | Galaxy | + | Galaxy ([http://wiki.g2.bx.psu.edu http://wiki.g2.bx.psu.edu]) is an open, web-based platform for accessible, reproducible, and transparent computational biomedical research. |
| + | #Accessible: Users without programming experience can easily specify parameters and run tools and workflows. | ||
| + | #Reproducible: Galaxy captures information so that any user can repeat and understand a complete computational analysis. | ||
| + | #Transparent: Users share and publish analyses via the web and create Pages, interactive, web-based documents that describe a complete analysis. | ||
| + | = CRG local implementation = | ||
| − | + | We are currently working in the implementation of a local Galaxy instance. | |
| + | This local Galaxy implementation will run the jobs on a cluster of 72 cores and 48GB per node. | ||
| + | [[File:CRG-Galaxy-2.png|900px|snapshot of the CRG-Galaxy welcome page]] | ||
| − | [[File: | + | |
| + | [[File:HardWare_Schema.png|thumb|Hardware schema of the CRG-Galaxy implementation]] | ||
| + | [[Category:Services]] | ||
Latest revision as of 10:32, 22 January 2014
Galaxy (http://wiki.g2.bx.psu.edu) is an open, web-based platform for accessible, reproducible, and transparent computational biomedical research.
- Accessible: Users without programming experience can easily specify parameters and run tools and workflows.
- Reproducible: Galaxy captures information so that any user can repeat and understand a complete computational analysis.
- Transparent: Users share and publish analyses via the web and create Pages, interactive, web-based documents that describe a complete analysis.
CRG local implementation
We are currently working in the implementation of a local Galaxy instance. This local Galaxy implementation will run the jobs on a cluster of 72 cores and 48GB per node.
