Galaxy Community Conference 2014

June 30, 2014 at 12:00 PM CDT – July 3, 2014 at 1:00 AM CDT
  • Baltimore, MD

The 2014 Galaxy Community Conference will start with a Training Day on June 30, followed by two full days of accepted talks, keynotes, lightning talks, poster sessions, birds-of-a-feather sessions, and networking time.

As in past years, talks will cover a wide range of biology, bioinformatics, and informatics. Ravi Madduri and Paul Davé will be presenting "Using Galaxy and Globus to deliver Science as a Service."


At the Computation Institute, we originally posited the notion of science as a service in 2005 as a means of publishing and accessing scientific data and applications through well-defined and internet accessible services. Our vision of science as a service worked well in a world when computing resources were scarce; when we needed to federate heterogeneous resources and make them accessible to researchers; when different tools and data were provided using different interfaces and representations; and when research problems involved datasets that could be hosted and analyzed on a single computer. In this talk we re-examine our vision of science as a service in a world in which computing resources are now commoditized; a world in which researchers are increasingly facing 'big data' challenges; a world in which Cloud providers, such as Amazon Web Services, have become viable alternatives to purchasing dedicated infrastructure; and a world in which building reliable infrastructure for solving scientific problems is only an API call away.

We will present our efforts on using Galaxy and Globus to create cloud-based services for scientific domains such as Genomics, Climate modeling, Cosmology, ECG Analysis and Material Sciences. We will present lessons learned, extensions we created to enable these communities adoption of Galaxy as an analysis engine. We will present a recent genomics usecase enabled using Galaxy based Globus Genomics on creating and running Consensus Genotyper for exome sequencing pipeline on large scale Tourette's Syndrome data set. (Joint work with Dr. Nancy Cox's group at UChicago