Integrating diverse databases into an unified analysis framework: A Galaxy approach

Daniel Blankenberg, Nathan Coraor, Gregory Von Kuster, James Taylor, Anton Nekrutenko

Research output: Contribution to journalArticlepeer-review

45 Scopus citations


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 ( 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.

Original languageEnglish (US)
Article numberbar011
StatePublished - 2011

All Science Journal Classification (ASJC) codes

  • Information Systems
  • General Biochemistry, Genetics and Molecular Biology
  • General Agricultural and Biological Sciences


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