Galaxy Community Conference 2016 (GCC16)

Authors

• Eric Yao, JBrowse Lead Developer, CA Institute of Quantitative Biosciences at UC Berkeley
• Ian Holmes, Prof of Bioengineer, Department of Bioengineering, University of California, Berkeley
• Monica Muñoz-Torres, Berkeley Bioinformatics Open-source Projects Lawrence Berkeley National Laboratory
• Colin Diesh, University of Missouri
• Eric Rasche, Department of Biochemistry and Biophysics, Texas A&M University
• Nathan Dunn, Berkeley Bioinformatics Open-source Projects Lawrence Berkeley National Laboratory
• Suzi Lewis,  Berkeley Bioinformatics Open-source Projects Lawrence Berkeley National Laboratory

Abstract
This presentation will demonstrate BLAST analysis with an integration of JBrowse and Galaxy. The integrated platform uses a new, extensible JBrowse server (a Node-based web service framework) with Galaxy and BLAST modules as installable components. This project is intended to serve as an example for others developing JBrowse plugin-based extensions backed by Galaxy tools. The platform hosts an extensible REST API, sub/pub messaging integrated with the JBrowse, has its own job queue and a policy engine supporting OAuth.