ORCA: a comprehensive bioinformatics container environment for education and research

Abstract Summary The ORCA bioinformatics environment is a Docker image that contains hundreds of bioinformatics tools and their dependencies. The ORCA image and accompanying server infrastructure provide a comprehensive bioinformatics environment for education and research. The ORCA environment on a...

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Bibliographic Details
Published in:Bioinformatics
Main Authors: Jackman, Shaun D, Mozgacheva, Tatyana, Chen, Susie, O’Huiginn, Brendan, Bailey, Lance, Birol, Inanc, Jones, Steven J M
Other Authors: Hancock, John
Format: Article in Journal/Newspaper
Language:English
Published: Oxford University Press (OUP) 2019
Subjects:
Online Access:http://dx.doi.org/10.1093/bioinformatics/btz278
http://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btz278/28563499/btz278.pdf
https://academic.oup.com/bioinformatics/article-pdf/35/21/4448/50721888/bioinformatics_35_21_4448.pdf
Description
Summary:Abstract Summary The ORCA bioinformatics environment is a Docker image that contains hundreds of bioinformatics tools and their dependencies. The ORCA image and accompanying server infrastructure provide a comprehensive bioinformatics environment for education and research. The ORCA environment on a server is implemented using Docker containers, but without requiring users to interact directly with Docker, suitable for novices who may not yet have familiarity with managing containers. ORCA has been used successfully to provide a private bioinformatics environment to external collaborators at a large genome institute, for teaching an undergraduate class on bioinformatics targeted at biologists, and to provide a ready-to-go bioinformatics suite for a hackathon. Using ORCA eliminates time that would be spent debugging software installation issues, so that time may be better spent on education and research. Availability and implementation The ORCA Docker image is available at https://hub.docker.com/r/bcgsc/orca/. The source code of ORCA is available at https://github.com/bcgsc/orca under the MIT license.