April 29, 2014 - 5:00 EDT to May 1, 2014 - 5:00 EDT

Boston, MA

Globus is a sponsor of Bio-IT World; you can find our exhibit at Booth 251. We'll also be leading a workshop, two presentations, chairing a session, and participating in a panel:

Practical Solutions for Big Data Analytics (Workshop), by Vas Vasiliadis and Ravi Madduri

​​Tuesday, April 29, 2014 | 12:30-4:00 p.m.

About this Workshop

The rapid growth of data in biomedical research is placing massive demands on sequencing centers, analysis labs, and other high-performance computing facilities. These facilities must provide robust tools and services that can continue to scale as the needs of researchers increase. Further, as collaborative research becomes commonplace, the ability to move and share large data sets between institutions is a fundamental requirement for many researchers. The workshop aims to provide attendees with solutions to address the emerging challenges in dealing with big data in the context of genomics analysis. Attendees will learn about the Globus service for file transfer and sharing, and see how tools such as Galaxy can take advantage of research data management services to streamline and accelerate analysis workflows. The workshop will be a mix of presentation and hands-on exercises where attendees can gain experience with the various tools and services described.

Agenda

12:30 pm: Challenges for Biomedical Analysis at Scale
12:45 pm: Best Practices and Solution Components
1:00 pm: Introduction to Globus and Demonstration of File Transfer and Sharing
1:30 pm: Exercise: Simple File Transfer and Sharing
2:00 pm: Refreshment Break
2:15 pm: Case Study
2:30 pm: Managing Endpoints on High Performance Systems
2:45 pm: Exercise: Server Endpoint Configuration and Use
3:15 pm: Integrating Data Management and Analysis Services in the Cloud
3:45 pm: Interactive Q&A and Session Wrap-Up

Data Management Best Practices for Genomics Service Providers, by Vas Vasiliadis

Wednesday, April 30, 2014 | 11:00-11:30 a.m.

Genomics research teams in academia and industry are increasingly limited at all stages of their work by large and unwieldy datasets, poor integration between the computing facilities they use for analysis, and difficulty in sharing analysis results with their customers and collaborators. We will discuss issues with current approaches and describe emerging best practices for managing genomics data through its lifecycle.

Collaborations Session

Wednesday, April 30, 2014 | 10:50 a.m. Track 3: Cloud Computing.

Chair: Ravi Madduri of University of Chicago and Argonne National Laboratory

10:50 Chairperson's Remarks

11:00 Michael Braxenthaler of F. Hoffmann-La Roche and tranSMART Foundation

11:30 Andrew Porter of Merck

12:00 Michelle Munson of Aspera

12:40 Luncheon Presentation: James Reaney of SGI

1:10 Luncheon Presentation: Vadim Parizher of Allergan

Globus Genomics: An End-to-End NGS Analysis Service on the Cloud for Researchers and Core Labs, by Ravi Madduri

​Thursday, May 1, 2014 | 11:15-11:35 a.m. Track 3: Cloud Computing.

Ravi K. Madduri, Fellow, Computation Institute, University of Chicago; Project Manager, Mathematics and Computer Science Division, Argonne National Laboratory

We describe the Globus Genomics platform. Globus Genomics provides an integrated platform for end-to-end data management using Globus Online and scalable analysis using the Galaxy framework and Amazon Web Services. We will walk through case studies of researchers and core labs at various universities that are leveraging the service to meet their rapidly growing genomics analysis needs.

Panel: Optimizing Cloud Computing for Scientific Research

Thursday, May 1, 2014 | 3:30 p.m. Track 3: Cloud Computing.

Moderator: Jason Stowe of Cycle Computing
Jeremy Chambers of Biogen
Idec James Connelly of Sanofi
Justin H. Johnson of AstraZeneca
Ravi K. Madduri of University of Chicago and Argonne National Laboratory
Alain Nanzer of F. Hoffmann-La Roche Ltd.
Thomas Schilling of Bayer Business Services GmbH

In this big data age, researchers rely more heavily on cloud computing to store, share and analyze data. It is thus important to understand the options, potential uses and best practices for optimizing this technology. This panel of IT infrastructure experts, software development pros and end users will address the possibilities and perils of working in the cloud, now and in the future.