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Wednesday, June 29 • 3:15pm - 4:30pm
D06: BLAST with JBrowse and Galaxy

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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.

Presenters

Attendees (7)