Year: 2011
Type: article
Abstract: Recent technological advances have lead to the ability to generate large amounts of data for model and non-model organisms. Whereas, in the past, there have been a relatively small number of central repositories that serve genomic data, an increasing number of distinct specialized data repositories and resources have been established. Here, we describe a generic approach that provides for the integration of a diverse spectrum of data resources into a unified analysis framework, Galaxy (http://usegalaxy.org). This approach allows the simplified coupling of external data resources with the data analysis tools available to Galaxy users, while leveraging the native data mining facilities of the external data resources. DATABASE URL: http://usegalaxy.org.
Source: Database
Authors: D. Blankenberg, N. Coraor, G. Von Kuster, J. Taylor, A. Nekrutenko, on behalf of The Galaxy Team
Institutions: Emory University, Pennsylvania State University
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,729
Awards: Dynamically scalable accessible analysis for next generation sequence data, G505996347, G7044029168, A Turnkey Solution for Next Generation Sequence Data Analysis, G7470937020, Tailoring Genomic Data to the Needs of Experimental Biologists and Educators, An Efficient Lightweight Environment for Biomedical Computation, G8939430086
OpenAlex ID: W2120590796