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Turning pipe dreams into reality

Genome Biology
Springer (Biomed Central Ltd.)
Publication Date
DOI: 10.1186/gb-2012-13-8-318
  • Meeting Report
  • Biology
  • Computer Science


Turning pipe dreams into reality Introduction The 2012 Galaxy Community Conference returned to the United States after its sojourn last year in the Netherlands (abstracts and other related materials are freely available online []). This two day event was held at the University of Illinois at Chicago, hosted by the University of Illinois-Champaign (UIUC) and the University of Illinois-Chicago (UIC), and sponsored by Ion Torrent, EMC Isilon, UIUC, and UIC. The conference provided a forum for users and developers of Galaxy [], a Web-based plat- form for undertaking all facets of genomic analysis, in_ clud ing data retrieval and integration, multi-step analysis, reproducible analyses via workflows, visualization, colla- boration, and publication. Galaxy’s growing popularity was clearly evident with over 200 delegates attending from Europe, the Far East and Australia, as well as North America. Equally impressive was that the participants were a mix of software developers, bioinformaticians and biologists, underlining the diversity of the community using Galaxy. Inaugural Galaxy training day In a change to the previous two meetings, delegates were invited to a day of Galaxy tutorials preceding the main conference. This was a welcome addition and positively received by delegates who were given the opportunity to learn about new and updated features of Galaxy. A selection of hands-on sessions were provided by the core Galaxy team and collaborators on a range of technical topics, such as the deployment of Galaxy, defining and installing tools and data resources, and the use of Galaxy on cloud computing platforms. For those interested in extending Galaxy, tutorials were provided to learn about the Galaxy code architecture and the Galaxy Application Programming Interface (API). Applied sessions included learning how to use Galaxy for variant and single nucleotide polymorphism (SNP) analysis, and analy

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