Cloud-Based Bioinformatics


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Leveraging cloud computing technology, bioinformatics tools can be made available to anyone anywhere when they need them. This conference will feature successful cases of large scale on demand computing in the cloud, and translational bioinformatics analysis conducted in the cloud, as well as the software that let users create and share standardized research pipelines and workflow with fast turnaround time and lower cost. We will also showcase successful collaborative initiatives in the cloud among life science communities, including industry and non-profit organizations.

Wednesday, 10 October

12:30 Conference Registration


» Plenary Keynotes 


Big and Small Data in Regulation 

14:00 Chairperson’s Remarks

14:15 Regulatory Science and Technology: Current Strategies and New Connections

Eric PerakslisEric D. Perakslis, Ph.D., CIO and Chief Scientist of Informatics, U.S. Food and Drug Administration (FDA)






 

14:35 A National Regulator’s Perspective: The Challenges of Integration and Collaboration in a Decentralized Environment

Alison DavisAlison Davis, Director, Information Management, The Medicines and Healthcare Products Regulatory Agency (MHRA)






 

14:55 A Strategic Vision on ICT, Supporting the Evaluation and Supervision on Medicines at EMA

Luc VerhelstLuc Verhelst, CIO, European Medicines Agency (EMA)






 

15:15 Panel Discussion

Co-Moderators: 


Kevin Davies, Ph.D., Editor-in-Chief, Bio-IT World

Martin Stanley, Director, Division of Technology, U.S. Food and Drug Administration (FDA)


Panelists: 

Alison Davis, Director, Information Management, The Medicines and Healthcare Products Regulatory Agency (MHRA)

Eric D. Perakslis, Ph.D., CIO and Chief Scientist of Informatics, U.S. Food and Drug Administration (FDA)

Luc Verhelst, CIO, European Medicines Agency (EMA)

15:45 Refreshment Break in the Exhibit Hall with Poster Viewing


Collaborative and Dynamic Biomedical Informatics 

IBM 16:30 A Hybrid Cloud Architecture for Mixed Workload Bio-informatics Applications

Jeremy Chambers, Solution Architect, Platform Computing, an IBM Company

This session looks at the benefits of adopting a hybrid cloud platform for bio-informatics applications. We introduce a shared services platform inside a private cloud capable of running multiple bio-informatics applications including interoperable MapReduce and SOA workloads. We also demonstrate how distilled results can be placed into a public cloud for precompetitive collaboration with geographically distributed stakeholders.

*IBM and the IBM logo are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide.

17:00 IMI European Medical Information Framework (EMIF) Project – A Pre-Competitive, Public-Private Consortium to Enhance the Utilization of Health Data for Biomedical Research

Bart VannieuwenhuyseBart Vannieuwenhuyse, Sr. Director Health Information Science, Janssen R&D

Increasingly huge volumes of human health data are collected and electronically stored, either in routine Electronic Healthcare Record (EHR) databases, through research-driven cohort studies, associated with biobanks or through other efforts. The EMIF project aims to developing a common Information Framework that enables improved access to these data sources. The project objectives include addressing two specific therapeutic research questions that will help guide the development of the Information Framework: discovery of biomarkers for the onset of Alzheimer’s Disease (AD) and metabolic complications of obesity. 

17:30 Documentation of Clinically Relevant Genome Variation Allele Frequencies

Cristiana Pavlidis, Ph.D., PGENI Manager, Golden Helix Institute of Biomedical Research

FINDbase (http://www.findbase.org) records frequencies of clinically relevant genome variation allele frequency data, namely causative mutations and pharmacogenomics markers in various populations worldwide. The database includes dynamic data querying and visualization tools, built around PivotViewer software (http://www.getpivot.com), based on Microsoft Silverlight technology (http://www.silverlight.net), which facilitates querying of large datasets and visualizing the results. Also, the database has a comprehensive data collection from over 100 populations worldwide. Finally, FINDbase is interconnected with the scientific journal Human Genomics and Proteomics as an example of a database-journal.

18:00 Close of Day



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