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Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences

Jeremy Goecks1, Anton Nekrutenko2*, James Taylor1* and The Galaxy Team

Author Affiliations

1 Department of Biology and Department of Mathematics and Computer Science, Emory University, 1510 Clifton Road NE, Atlanta, GA 30322, USA

2 Center for Comparative Genomics and Bioinformatics, Penn State University, 505 Wartik Lab, University Park, PA 16802, USA

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Genome Biology 2010, 11:R86  doi:10.1186/gb-2010-11-8-r86

Published: 25 August 2010


Increased reliance on computational approaches in the life sciences has revealed grave concerns about how accessible and reproducible computation-reliant results truly are. Galaxy webcite, an open web-based platform for genomic research, addresses these problems. Galaxy automatically tracks and manages data provenance and provides support for capturing the context and intent of computational methods. Galaxy Pages are interactive, web-based documents that provide users with a medium to communicate a complete computational analysis.