Westborough, MA (PRWEB) January 11, 2011
Where: Plant & Animal Genome XIX, Town and Country Hotel, San Diego, Calif.
When: Monday, January 17, 2011 4:00 PM – 6:00 PM
Room Location: Pacific Salon 2
With the plummeting cost of NGS sequencing, genomic-based studies are becoming central to agricultural research. However, the whole-genome resolution of NGS technology, multiplied by the species of interest and clusters of samples, creates a daunting new challenge -- how to best manage and analyze the overwhelming amount of sequence data?
The panel will examine a "platform" method to address this challenge. In this approach, organizations use a sequence database engine to store, manage, and analyze sequence data. Major benefits include: the ability to store all sequence information into a single/shared database, the ability to easily compare NGS datasets and scientifically query the database, the ability to easily program new workflows and applications on top of the database, and system scalability to enterprise-level NGS.
This discussion will outline this platform approach, its challenges and benefits, hardware and scaling considerations, and include real-world testimony and future plans from genomics leaders at major Ag organizations that are taking this approach.
Anthony Flynn, Moderator, GenomeQuest
Erik Legg, Group Leader of Omics Application and Research, Syngenta
Olivier DUGAS, Leader of Upstream Genomics, BIOGEMMA
Richard Resnick, CEO, GenomeQuest
Dr. Eng Lim Goh, SVP, CTO, SGI (tentative)
The panel discussion will be videotaped and made available online after the conference, at http://www.genomequest.com/pag.
GenomeQuest, the global leader in sequence data management, helps life science organizations realize the full promise of genomics. Over 160 leading health and agriculture companies use GenomeQuest for mission-critical work, including nine of the top ten pharmaceuticals. The core technology of the company is the GQ-Engine -- a sequence database engine that is purpose-built for storing, managing, and analyzing sequence data at whole- and multi-genome scale. Visit genomequest.com for more information.
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