THE FUTURE TAKES CENTER STAGE

Featuring presenters from top organizations, this workshop touched on areas such as consent tracking and accreditation for clinical data, data and workflow management systems, and secure data clouds for scientific collaboration and active archive. Attendees from institutions such sequencing facilities, cancer research centers, and agritech and pharmaceutical companies also participated, sharing their best practices for handling research data across its entire life cycle and how they have achieved faster, more actionable results.

Held at the start of the 2017 Bio-It World Conference and Expo, this workshop was the premiere event for exploring the best practices and cutting-edge technologies that are helping organizations overcome their current data management and analytics challenges.

CO-SPONSORED BY:

DDN Storage
IBM
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2017 WORKSHOP PRESENTATIONS

2017 Best Practices for Big Data in Life Sciences Session Chair Remarks
Toby Bloom, Deputy Scientific Director, Informatics, New York Genome Center
Transforming Data Storage for Life Sciences Research
Paul Jeffreys, PhD, Digital Operations Programme Lead, and J. Robert Michael, PhD, Head of Scientific Computing, The Institute of Cancer Research | 2017 Best Practices for Big Data in Life Sciences.
Monitoring, Alerting, DevOps, SLAs, and all That
Jason Banfelder, Director, HPC Systems and Applications, Rockefeller University | 2017 Best Practices for Big Data in Life Sciences
Demonstrating the Utility of a Protected Compute Environment for Restricted Data
Thomas Cheatham, PhD, Director, Research Computing and CHPC | University of Utah presents: “Demonstrating the utility of a protected compute environment for restricted data"
Strings, Images and Movies
Hans-Erik Aronson, Vice President and Chief Information Officer, Cold Spring Harbor Laboratory | 2017 Best Practices for Big Data in Life Sciences
HPC Analytics in the Era of Big Data
J. Robert Michael, PhD, Sr. Software Engineer, St. Jude Children's Research Hospital | 2017 Best Practices for Big Data in Life Sciences
2017 Best Practices for Big Data in Life Sciences Welcome
George Vacek, Global Director of Life Sciences, DDN | 2017 Best Practices for Big Data in Life Sciences workshop

THE PERFORMANCE STORAGE LEADER IN CLINICAL AND PHARMACEUTICAL RESEARCH

FEATURED CUSTOMERS

PURPOSE-BUILT LIFE SCIENCES STORAGE PLATFORMS

The current wave of machine generated Life Sciences data is providing insight to biological and chemical systems which will expand understanding, end suffering, and drive funding for genomics, clinical, and pharmaceutical research. However, data-ingest, distribution, and analysis of the petabytes of machine-generated data are adding a new layer of complexity, cost, and derived inefficiencies. This rapid expanse in data has weakened the data centers' ability to meet the needs of today’s researchers.

DDN has three highly specialized teams – focused on genomics, clinical, and pharmaceutical research. We understand the technology, workflows, business issues, and concerns being faced today and in the future. Find out how DDN can accelerate your discovery process while simplifying all aspects of your R&D pipeline.


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