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Accessible, transparent, reproducible analysis with Galaxy

Time 07/18/13 11:05AM-11:20AM

Session Abstract

High-throughput sequencing has transformed biomedical research.
However, making sense of this resource requires sophisticated
computational tools. We have developed the Galaxy system, which makes
these tools available to a wide audience of researchers, while
ensuring that analyses are reproducible and can be communicated
transparently. We will also describe the new Galaxy visualization
framework, and specifically Trackster, which integrates analysis and
visualization enabling efficient parameter space exploration. We will
also describe Galaxy Cloudman, which makes this accessible analysis
environment available using Cloud resources, enabling researchers
without dedicated compute resources to perform large-scale data
analysis cost effectively.


Speaker James Taylor Emory University

Presentation Media

Secondary tracks Workflow Engines